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5613042 
Chaotic recurrent neural network and learning method therefor
A chaotic recurrent neural network includes N chaotic neural networks for receiving an external input and the outputs of N1 chaotic neural networks among said N chaotic neural networks and...


5613044 
Learning machine synapse processor system apparatus
A Neural synapse processor apparatus having a neuron architecture for the synapse processing elements of the apparatus. The apparatus which we prefer will have a N neuron structure having synapse...


5608843 
Learning controller with advantage updating algorithm
A new algorithm for reinforcement learning, advantage updating, is proposed. Advantage updating is a direct learning technique; it does not require a model to be given or learned. It is...


5604840 
Information processing apparatus
An information processing apparatus is composed of an input layer, a hidden layer and an output layer, and performs a computation in terms of neuron models. In the information processing apparatus,...


5602964 
Automata networks and methods for obtaining optimized dynamically reconfigurable computational architectures and controls
A system for obtaining optimum performance and optimum graceful degradation from Lie algebra descriptions of a spectrum of reconfigurable network architectures, including, neural nets and cellular...


5598510 
Self organizing adaptive replicate (SOAR)
A selforganizing adaptive replicated (SOAR) for creating a replicate of human expert behavior. The SOAR can be embedded invisibly within multiple types of systems to observe, adapt and grow to...


5598076 
Process for optimizing control parameters for a system having an actual behavior depending on the control parameters
A process for optimizing the control parameters of the operation of a system, such as a robotic system or heating system, provides that a trainable component or model is taught the actual behavior...


5596681 
Method of determining an optimal number of neurons contained in hidden layers of a neural network
An object of the present invention is to determine the optimal number of neurons in the hidden layers of a feedforward neural network. The number of the neurons in the hidden layers corresponds to...


5592589 
Treelike perceptron and a method for parallel distributed training of such perceptrons
Constraints placed on the structure of a conventional multilayer network consequently enable learning rules to be simplified and the probability of reaching only local minima to be reduced. These...


5590243 
Neural network system with sampling data
A neural network system includes input, intermediate and output layers, each layer containing at least one neural network element, each having an input and output, for simulating a neuron; and a...


5590218 
Unsupervised neural network classification with back propagation
An unsupervised back propagation method for training neural networks. For a set of inputs, target outputs are assigned l's and O's randomly or arbitrarily for a small number of outputs. The...


5588090 
Signal processing apparatus
A signal processing apparatus has a circuit network which is formed by connecting a plurality of neuron units into a network, each of the neuron being provided with a selflearning means having a...


5586033 
Control system with neural network trained as general and local models
A neural network is trained with a general set of data to function as a general model of a machine or process with local condition inputs set equal to zero. The network is then retrained or...


5583968 
Noise reduction for speech recognition
A neural network for noise reduction for speech recognition in a noisy environment uses an algorithm for automatic network generation which automatically selects a suitable signal representation....


5581662 
Signal processing apparatus including plural aggregates
A hierarchical signal processing apparatus includes aggregates having logic operation portions. The apparatus compares a final output signal from a logic operation portion in a final aggregate with...


5579439 
Fuzzy logic design generator using a neural network to generate fuzzy logic rules and membership functions for use in intelligent systems
A fuzzy logic design generator for providing a fuzzy logic design for an intelligent controller in a plant control system includes an artificial neural network for generating fuzzy logic rules and...


5577166 
Method and apparatus for classifying patterns by use of neural network
A method of and an apparatus for classifying an input pattern as a classification object by use of a neural network and transforming the input pattern into an output pattern as a result of...


5574827 
Method of operating a neural network
A method is implemented in hardware or software type neural network, the neural network is constructed of neurons or neuron circuits each having only one significant processing element in the form...


5572030 
Method for determining parameter of hydrocarbon
A method for evaluating a hydrocarbon so as to determine a desired parameter of the hydrocarbon includes the steps of providing a hydrocarbon to be evaluated, obtaining a nearinfrared signal from...


5572628 
Training system for neural networks
In order for neural network technology to make useful determinations of the identity of letters and numbers that are processed in real time at a postal service sorting center, it is necessary for...


5568591 
Method and device using a neural network for classifying data
Method and device having a neural network for classifying data, and verification device for signatures.The device includes a neural network with an input layer 3, an internal layer 4, and an output...


5566273 
Supervised training of a neural network
The present invention provides a system and method for supervised training of a neural network. A neural network architecture and training method is disclosed that is a modification of an ARTMAP...


5566275 
Control method and apparatus using two neural networks
A control method of controlling a controlled system according to the invention comprises the first step of inputting a current and future target controlled variable to a first neural network model...


5565364 
Method for the analysis of a component of a medical sample
A method for the analysis of a component of a medical sample with the aid of an autoanalyzer, in which the sample is reacted with a reagent system and a physically measurable quantity X resulting...


5563983 
Learning system operated through a layered neural network
The present invention predicts an output result in response to unknown input data using a layered neural network. For example, learning data collected in time series with rate of changes included...


5561741 
Method of enhancing the performance of a neural network
A method for enhancing the performance of an artificially intelligent system employing a neural network by proving an optimized training set for training the neural network. The optimized training...


5559929 
Method of enhancing the selection of a training set for use in training of a neural network
A method for enhancing the performance of an artificially intelligent system employing a neural network by proving an optimized training set for training the neural network. The optimized training...


5555439 
Learning system and a learning pattern showing method for a neural network
A neural network learning system using back propagation and a method of learning pattern showing are disclosed. In the case where a supervised signal contains an error or a pattern difficult to...


5555345 
Learning method of neural network
The present invention is a learning method of a neural network for identifying N category using a data set consisted of N categories, in which one learning sample is extracted from a learning...


5553196 
Method for processing data using a neural network having a number of layers equal to an abstraction degree of the pattern to be processed
There is provided a layer construction of neural layers according to the abstraction degree of data to be processed, and data is inputted to a neural layer corresponding to its abstraction degree.


5553195 
Dynamic neural net
An information processing system includes a feedforward neural net that is functionally comprised of a plurality of interconnected neurons. At least a particular one of the neurons is operative to...


5546503 
Apparatus for configuring neural network and pattern recognition apparatus using neural network
In a neural network having neurons connected in a multilayer, firstly, input signal sets are sequentially entered to statistically process the outputs of hidden neurons and determine the optimum...


5544280 
Unipolar terminalattractor based neural associative memory with adaptive threshold
A unipolar terminalattractor based neural associative memory (TABAM) system with adaptive threshold for perfect convergence is presented. By adaptively setting the threshold values for the dynamic...


5542005 
Recognition unit and recognition apparatus
A recognition apparatus is provided with a plurality of recognition units organized in a multilayered hierarchical structure. Each of the recognition units includes a signal input section, a...


5535301 
Method for guessing the response of a physical system to an arbitrary input
Stacked generalization is used to minimize the generalization errors of one or more generalizers acting on a known set of input values and output values representing a physical manifestation and a...


5535303 
"Barometer" neuron for a neural network
A "Barometer" Neuron enhances stability in a Neural Network System that, when used as a trackwhilescan system, assigns sensor plots to predicted track positions in a plot/track association...


5535302 
Method and apparatus for determining image affine flow using artifical neural system with simple cells and lie germs
A method and apparatus is provided to determine image affine flow from timevarying imagery. The novel artificial neural computational system of a cortical hypercolumn comprising a plurality of...


5533169 
Neural network system having dynamically reconfigurable connections
A neural network system is provided that includes a network of neural operators pilot controlled by a control unit. The activities calculated by the operators are memorized in associated memory...


5528729 
Neural network learning apparatus and learning method
A neural network learning method firstly performs finding a linear operator which satisfies required conditions suited to the function for learning by using linear prediction, where the function...


5524178 
Neural network learning system
A neural network learning system is applied to extensive use in applications such as pattern and character recognizing operations, various controls, etc. The neural network learning system operates...


5524177 
Learning of associative memory in form of neural network suitable for connectionist model
The learning of an associative memory suitable for the connectionist model which can deal with the patterns having the nonrandom frequencies of the appearances or the nonrandom correlations. In...


5524086 
Dipole parameter estimation method and apparatus
A trained neural network is used, for estimating the number, positions or moments of one or more dipoles which are assumed as sources of the electromagnetic field distribution based upon an...


5524176 
Fuzzy expert system learning network
In the present invention, prior art techniques are extended to allow application of the backpropagation learning technique to artificial neural networks derived from fuzzy expert system rulebases....


5522015 
Neural network and learning method for linearly unseparable patterns
A neural network has an input layer, a hidden layer, and an output layer. The neural network includes a lower neural network model composed of hidden layer neurons and input layer neurons for...


5519610 
Control system for automatic transmissions with teaching and automatic modes using a neural network
A control system for an automatic transmission, which can easily achieve a variety of shift patterns according to the taste of a driver and the road conditions. The control system includes: a...


5517597 
Convolutional expert neural system (ConExNS)
Based on the recognition that transfer functions of Boolean completeness can be expressed as a domain within a periodic function, an architecture of a artificial neuron which is fully generalized...


5517667 
Neural network that does not require repetitive training
A neural network, which may be implemented either in hardware or software, is constructed of neurons or neuron circuits each having only one significant processing element in the form of a...


5509103 
Method of training neural networks used for speech recognition
A speechrecognition system for recognizing isolated words includes preprocessing circuitry for performing analogtodigital conversion and cepstral analysis, and a plurality of neural networks...


5504838 
Neuron unit with error signal having components representing pulse densities
A neuron unit processes a plurality of input signals and outputs an output signal which is indicative of a result of the processing. The neuron unit includes input lines for receiving the input...


5504780 
Adaptive equalizer using selflearning neural network
A channel equalizer is formed using a selflearning neural network. During a training period, the neural network is taught the channel response function. The network is then used to equalize...
