How To Use Neural net In A Sentence
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RBF neural network is used to predict nugget sizes of resistance spot welder, in which the input vectors are constructed by time sequences of cycle parameters.
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John Godfrey Saxe Several characteristics of neural network technology set it apart from conventional computing and artificial intelligence approaches.
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Two general categories are used in describing neural network organization.
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Simulation results show that the system based on neural network is superior to a conventional system in the aspects of robustness and brake efficiency.
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Residuals were achieved by comparing the output of neural network with the real state value. Fault detection rules were distilled from the residuals to execute actuator fault diagnosis.
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The technology revolves around neural network processors which can solve very complex problems in real time, where real time is microseconds rather than milliseconds.
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Neuroscience Network Projects: Scientists are increasingly turning to chemistry and biology to create new designs for neural network computer systems.
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De-noise filter method based on single value decomposition is applied to preprocess traffic volume time series, and a radical basic function neural network is trained for prediction.
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The article though analyse and compare, proves the possibility of appling the data fusion method of BP neural network to processing multisystem's data of solid rocket motor.
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But most of us sometimes need a kick up the comfort zone to move on and get our neural networks glowing again.
Times, Sunday Times
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In conclusion, according to gray neural network theory, design a dynamic risk early warning system, and present the early warning monitoring specific methods and steps.
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In truth, much of the ongoing research in neural networks today is involved with learning.
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Perceptron is a kind of useful neural network model and can classify the classification of the detachable linearity correctly.
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With compartmental modeling, not only are simulated neural networks interpretable as vector-to-vector transformers.
The Philosophy of Neuroscience
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They are also developing, optimizing, and validating neural network classifiers so that cancer can be more accurately classified and therapy can be personally tailored for optimal response.
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In fact, some accounts of the times attribute about 80 percent of the revived interest in neural networks directly to Hopfield.
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The results of experiments indicate:the ensemble neural network can improve greatly the accuracy of software reliability prediction.
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There are several algorithms used in neural networks, one of them is backpropagation, which is the one I used.
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Besides, all neural networks at the moment are simulations that are written in software of an essentially serial nature which runs on serial processors.
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Moreover, a new visual control scheme based on artificial neural network is designed, and the visual tracking problem is converted into a servo problem in image feature space.
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Also the part about neural networks is simplistic, to say the least: what about the learning model and backpropagation?
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This interesting paper shows that this illusion "automatically" occurs as a by-product when an artificial neural network is trained for brightness constancy.
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Neuroscience Network Projects: Scientists are increasingly turning to chemistry and biology to create new designs for neural network computer systems.
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Artificial neural network is a kind of implicit expression without explicit expression as statistical regression model, and it is its disadvantage.
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But we also use things like development, embryology or immune systems, or even neural networks, the way brains work.
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In this paper, a Modified Neural Network ( MNN ) based power controller is proposed to smoothen out the fast fading and keep the received signal power from each user constant at the base station.
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The project uses ‘neural networks’, a computational analysis, which mimics the working of the human brain to map what lies beneath the city.
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This is behavior that is learned and that is programmed in the organism's neural network and brains.
Cultural Anthropology
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The validity and feasibility of the forward reasoning method for fault diagnosis based on BP neural networks are verified by the example of the faults in the ignition system of automobile engine.
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Process monitoring is performed by a controller that uses fuzzy logic and neural network technology.
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John Godfrey Saxe Several characteristics of neural network technology set it apart from conventional computing and artificial intelligence approaches.
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In addition, he is also interested in hydrogenated and deuterated amorphous and poly-silicon carbon, germanium hydrogen material and devices, such as thin film transistors and neural network image sensors.
NTU Presidential Quackery
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One could conclude that neural nets love to do pattern classification.
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Neural networks used for robotics and control applications have been around for a relatively long time.
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It's more efficient to zip information along the neural networks already in place.
Times, Sunday Times
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I can only assume that once the data set has been ‘digitized’ (for lack of a better term) that all the data sets are run through the neural net and that in the last run of 150 datasets, only three were misclassified.
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The team has developed an ultrasensitive neural network that can pick up multiple nerve signals sent to muscles near the stump of an amputated arm.
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The addition of neural network methods came about because of several problems.
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The thermodynamical properties of polymers are studied using a BP artificial neural network model.
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neural network
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Cervical smear recognition system bases on neural network is designed and developed. The system can be used to merge, classify and standardize files of the cell feature parameters automatically.
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Another key issue is the choosing of appropriate neural network architecture and paradigms to match applications.
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Neural networks are popular in computer science, business informatics, as well as statistics and neurology.
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We adopt the SOM neural network and PNN to diagnose the condenser system.
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Another key issue is the choosing of appropriate neural network architecture and paradigms to match applications.
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Into this milieu comes now the neural network approach to artificial intelligence,[Sentence dictionary] where learning is built into every system.
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The neural network was dense and profoundly complex.
The Broken God
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In conclusion, according to gray neural network theory, design a dynamic risk early warning system, and present the early warning monitoring specific methods and steps.
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It's not so far out of the feasibility ballpark to suggest that advances in fuzzy logic and neural networks will create stunning possibilities alongside the leaps in processing power.
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We are, in short, accustomed to taking cues from the outside world, filtering them through a neural network, and writing our own novel inside our head.
Arthur Rosenfeld: In Praise of Fiction -- A Gentle Reminder
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Neural network based soft sensor models of diesel oil solidifying point crude distillation unit are discussed.
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John Godfrey Saxe Several characteristics of neural network technology set it apart from conventional computing and artificial intelligence approaches.
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New results from neuroscience and recent work with artificial neural networks together suggest a unified set of answers to these questions.
Christianity Today
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This is because while human beings are multifaceted creatures with intricate neural networks for making logical decisions and using sound fact-based judgments, sometimes they simply behave in perplexing and illogical ways.
A Mistrial of Psychology | Heretical Ideas Magazine
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A method of bean extruder processing parameter optimization combining neural networks with genetic algorithm was presented.
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The study investigates the claims that neural networks and neurocomputers are purportedly better than more conventional kinds of software and hardware.
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The condition monitoring system based on neural network and fuzzy logic for an aero-engine was proposed, which covered data validity and health assessment.
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The neural network approach requires fewer resources than conventional statistical methods, and further, can process data in real time.
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Ponds, however, have an amorphous structure, whereas neural networks have a discrete structure based on prior learning.
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Napster network neural networks nuclear power nuclear reactor nukes offshore drilling ohm online operating system packet switched system pager parallel processing peaker plant peripheral perpetual-motion machine personal computer petrochemical photoelectric effect platform portal power transmission grid program program, to programming language protocols radar radioactive waste radwaste
23. Technology
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Artificial intelligence and artificial neural networks are two directions of the development of intelligence science, the robot technology is significant achievement at present.
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There are four layers in fuzzy logic neural net system of cut slope stability analysis.
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Emulation within Parallel Architecture A more efficient method than computer simulations for implementing neural networks is to emulate within parallel architecture.
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Nonlinear system prediction using neural networks appears great efficiency and has abundance of applications.
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In this paper, the evaluation of two features in predicting the outcomes of patients with bilharziasis bladder cancer has been investigated using an RBF neural network.
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It uses neural network modelling to predict the impact very expensive additives such as rhenium and platinum might have on the heat resistance of superalloys.
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The paper describes genetic algorithm, genetic planning, evolutive planning, artificial neural network and ant group algorithm and cites their application in the mining industry.
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The engram is the neural network representing fragments of past experiences which have been encoded.
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If a neural network system is good at recall functions only, then it is necessary to impose constraints and limitations.
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The structure of a partially connected feed forward neural network and the training algorithm based on the recursive prediction error are constructed.
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Unlike less sophisticated Al, neural nets do not require that elaborate rule structures be specified in advance.
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Managers found themselves wondering whether a conventional approach could replace the neural network.
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A method of implementing symbol logic inference system using recurrent multilayer perceptron neural networks is presented in this paper.
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The neural network takes each pixel, does calculations, and enters information on a graph.
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Objective To study the artificial neural network in the diagnosis of the smear negative pulmonary tuberculosis.
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By 1989, they were using neural networks to assess credit risks.
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Moreover, a new visual control scheme based on artificial neural network is designed, and the visual tracking problem is converted into a servo problem in image feature space.
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Neural network technology applied to springback prediction of TWBs gives a new way to research optimization of TWBs forming.
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Studies the neural network model which is useful for behavioral patten's detection in the anti - fraud model.
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Many researchers are investigating ways to build neural networks directly in integrated circuits.
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The structure concept and the three key technologies: sensors, actuators and artificial neural nets, which compose smart structures, are introduced and discussed.
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According to Panksepp, there are primal neural networks in the posterior thalamic, tectal and periaqueductal regions of the mesencephalon that constantly process emotional information.
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Simple statistical weighting schemes commonly used in previous methods are related to the simplest neural net approaches.
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Cervical smear recognition system bases on neural network is designed and developed. The system can be used to merge, classify and standardize files of the cell feature parameters automatically.
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However, this application will illustrate in detail other techniques you can adopt in developing an application-specific neural network.
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Big-data-based analytics today include rule-based systems, statistical analysis and machine-learning techniques such as neural networks.
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Artificial neural network: a universal function approximator (= non-linear regression model) weights weights x1 a ij b jk y1 ⎛ N hid ⎞ x2 u 1x y2 yk = F ⎜ bok + ⎜ ⎝ ∑ b jk u j ⎟ ⎟
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Research in theory and computation encompasses quantum field theories of elementary particles, neural networks and quantum chromodynamics.
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Although digital computers have to simulate this parallelism, true neural network hardware will really perform the operations in parallel.
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Keywords: unsupervised artificial neural network, image identification, instantaneous velocity.
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Process monitoring is performed by a controller that uses fuzzy logic and neural network technology.
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If a neural network system is good at recall functions only, then it is necessary to impose constraints and limitations.
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Emulation within Parallel Architecture A more efficient method than computer simulations for implementing neural networks is to emulate within parallel architecture.
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Neural network method was used the parison swell by the die temperature and extrusion flow rate.
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However, the application of Neural Networks has been bound by its inherent defect, which is lack of comprehensibility.
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Neural networks are computer systems which mimic the workings of the brain.
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Adaptive neural network iterative learning control is proposed considering repetitive action, uncertainty and nonlinearity system.
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The validity and feasibility of the forward reasoning method for fault diagnosis based on BP neural networks are verified by the example of the f...
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* A denizen is precisely determined by calculating the generalized autoregressive conditional heteroscedascticity of the standard deviation of "residents", passed through a Bayesian filter, and finally normalized through a time-delay, reentrant neural net optimized with genetic algorithm parameter narrowing.
Countdown to SL backlash
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Into this milieu comes now the neural network approach to artificial intelligence, where learning is built into every system.
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This book presents a systematic approach to parallel implementation of feedforward neural networks on an array of transputers.
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We adopt the SOM neural network and PNN to diagnose the condenser system.
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It was the whispers - the crosstalk of a dying station, no longer shielded from the neural network of its human occupants.
Valentines, part the first
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So, with the latter, the wizardry of special effects allows us to whoosh down gullets and cascade through neural networks.
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The following tables illustrate this important difference between the current inspection method and the neural network approach.
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Netbuilder will, according to the company, allow developers to build information analysis systems using multiple neural network and statistical analysis modules.
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By 1989, they were using neural networks to assess credit risks.
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The neural network approach requires fewer resources than conventional statistical methods, and further, can process data in real time.
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The results showed that the neural network forecasting model based on L-M algorithm has higher prediction accuracy and a high value in the rural power system short-term load forecasting.
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The mining subsidence prediction with combination of fuzzy inference and neural networks is investigated.
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We use crazy-advanced technology which includes things like computer vision, collaborative filtering and neural networks to offer instant onboarding, a pre-screened pool of friends of friends, and a guided match experience.
Angie Chang: Interview With Mobile Matchmaking Startup RndVoo Founder Sophie-Charlotte Moatti
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Some multiple texture features as the input characteristics for classifier are selected and then fused. Lastly, the neural network is used to realize the separation of coal and gangue.
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Many researchers are suggesting that the real power of artificial intelligence lies in the blending of expert systems with neural networks.
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For neural nets and genetic algorithms, it is not so much fallible as crude.
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However, this application will illustrate in detail other techniques you can adopt in developing an application-specific neural network.
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Firstly, a fault detection algorithm of boiler water level sensor and feedwater pump is given based on the association rules and neural networks.
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Some multiple texture features as the input characteristics for classifier are selected and then fused. Lastly, the neural network is used to realize the separation of coal and gangue.
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Artificial neural network is a kind of implicit expression without explicit expression as statistical regression model, and it is its disadvantage.
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Based on the hypothesis presented by Hornik that three layer artificial neural network (ANN) can represent not only all functions but also all step derivatives of them at any precision.
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Neural network based soft sensor models of diesel oil solidifying point crude distillation unit are discussed.
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However, this application will illustrate in detail other techniques you can adopt in developing an application-specific neural network.
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That led me into this debate about connectionism, which is about how you might build a neural network model of the mind.
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I think it has to do with your neural net being over-trained to process a particular input, so that when it attempts to process new input, it keeps finding the old patterns.
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Math1 is a master hub for the genes that control various parts of neural networks for hearing, balance, the unconscious sense of one's position in space called proprioception and in a new finding, interoception, which is associated with activities such as awakening because of a full bladder or a distended colon, said Dr. Huda Zoghbi
Innovations-report
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Neural network has been nicely applied in pattern recognition and hydrocarbon prediction in applied geophysics.
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It uses neural network modelling to predict the impact very expensive additives such as rhenium and platinum might have on the heat resistance of superalloys.
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Neural network has been nicely applied in pattern recognition and hydrocarbon prediction in applied geophysics.
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And then the percentage of the esculent part of naval orange is estimated with Neural Network whose input variables are two surface areas and weight of navel orange.
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Based on the hypothesis presented by Hornik that three layer artificial neural network (ANN) can represent not only all functions but also all step derivatives of them at any precision.
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Many researchers are suggesting that the real power of artificial intelligence lies in the blending of expert systems with neural networks.
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Mould, manufacturing cycle, the n back - propagation ( BP ) neural network, the mathmatical model.
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The validity and feasibility of the forward reasoning method for fault diagnosis based on BP neural networks are verified by the example of the f...
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In essence, learning in artificial neural networks is an optimization process, that is, an artificial network adjusts the weights of the network on its concrete error information.
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In order to simulate neural networks of brain-size, neurocomputers need to be scaled up.
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To overcome the shortcomings of the sneak circuit analysis(SCA) based on BPNN, a binary neural network ensemble(BNNE) algorithm for the sneak circuit analysis(SCA) is proposed.
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In order to give the neural network description of resource leveling problem and make the output correspondent with neurons, the new concept of Augmented permute matrix is proposed.
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These connections between nodes are the stuff of long-term memory according to neural network theory.
Advanced Educational Psychology For Educators, Researchers and Policymakers,
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The condition monitoring system based on neural network and fuzzy logic for an aero-engine was proposed, which covered data validity and health assessment.
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The addition of neural network methods came about because of several problems.
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The results showed that the neural network forecasting model based on L-M algorithm has higher prediction accuracy and a high value in the rural power system short-term load forecasting.
-
Cervical smear recognition system bases on neural network is designed and developed. The system can be used to merge, classify and standardize files of the cell feature parameters automatically.
-
Neural network has been nicely applied in pattern recognition and hydrocarbon prediction in applied geophysics.
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On the basis, an artificial neural network is integrated with fuzzy system for fault diagnosis.
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In fact, the information-processing mechanisms are designed for implementing the systems of differential equations associated with neural networks.
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Subsequent Analysis: The 34 test results showed several close calls by operators that were unquestionably classified by the neural net.
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RBF neural networks is a new tool for nonlinear system identification.
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Improving Computational Models A significant portion of neural network research centers on the improvement of computational models.
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Math1 is a master hub for the genes that control various parts of neural networks for hearing, balance, the unconscious sense of one's position in space called proprioception and in a new finding, interoception, which is associated with activities such as awakening because of a full bladder or a distended colon, said Dr. Huda Zoghbi, professor of molecular and human genetics, pediatrics, neurology and neuroscience at BCM and Dr. Matthew Rose, an M.D.
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Hoiographic Implementations One of the most promising devices for implementing neural networks may be holograms.
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The back propagation (BP) neural network model of 5-degree of freedom (DOF) upper limb rehabilitant robot was built.
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The proposed system will integrate conventional computing, expert systems, and neural network methods.
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The technique, which doesn't need to have an explicit model - calibration based on neural networks implicit vision model, is more effective.
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Emulation within Parallel Architecture A more efficient method than computer simulations for implementing neural networks is to emulate within parallel architecture.
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Many researchers are suggesting that the real power of artificial intelligence lies in the blending of expert systems with neural networks.
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Swann is the one quoted above who falsely claims that Backster's work was vindicated in the 1980s by neurobiologists when it was discovered that plants have neural networks.
