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5461698 |
Method for modelling similarity function using neural network
Given a set of objects (A, B, C, . . . ), each described by a set of attribute values, and given a classification of these objects into categories, a similarity function accounts well for this...
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5461699 |
Forecasting using a neural network and a statistical forecast
A system and method for forecasting that combines a neural network with a statistical forecast is presented. A neural network having an input layer, a hidden layer, and an output layer with each...
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5461696 |
Decision directed adaptive neural network
A method for adapting a decision directed adaptive neural network (10). The method finds the best matches between a plurality of input data vectors (16) and an associated plurality of input portion...
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5459817 |
Neural network with learning function based on simulated annealing and Monte-Carlo method
A neural network with a learning function which does not require the backward propagation of the signals for the learning, which is applicable for a case involving the feedback of the synapses or...
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5455891 |
System and method for a learning neural network for generating random directions for weight changes
A learning neural network (30) implements a random weight change learning algorithm within a weight adjustment mechanism (28) for manipulating the weights applied to inputs of the network (30) in...
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5455892 |
Method for training a neural network for classifying an unknown signal with respect to known signals
The device includes a neural network with an input layer 3, an internal layer 4, and an output layer 5. This network is designed to classify data vectors to classes, the synaptic weights in the...
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5455893 |
Processing method and neuronal network structure applying the method
The invention relates to a norms computation procedure applied within a neuronal network structure or a computer. It permits determination of the norm of the new synaptic coefficients without...
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5452402 |
Neural network circuit for adaptively controlling the coupling of neurons
In a multi-layered neural network circuit provided with an input layer having input vectors, an intermediate layer having networks in tree-like structure whose outputs are necessarily determined by...
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5452400 |
Method of optimizing a combination using a neural network
A neural network for solving the problem of the optimization of the arrangement of at least two parts which are combined with each other through connecting wires. One neuron is assigned to each...
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5450527 |
Method for converting an existing expert system into one utilizing one or more neural networks
A technique for converting an existing expert system into one incorporating one or more neural networks includes the steps of separating the knowledge base and inference engine of the existing...
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5450528 |
Self-learning neural multi-layer network and learning method thereof
A self-learning multi layer neural network and the learning method thereof are characterized in that N-bit input data and M-bit desired output data are received, a weight value of each synapse is...
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5448681 |
Intelligent controller with neural network and reinforcement learning
A plant controller using reinforcement learning for controlling a plant includes action and critic networks with enhanced learning for generating a plant control signal. Learning is enhanced within...
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5448684 |
Neural network, neuron, and method for recognizing a missing input valve
A neuron (100) has a null-inhibiting function so that null inputs do not affect the output of the neuron (100) or updating of its weights. The neuron (100) provides a net value based on a sum of...
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5446828 |
Nonlinear neural network oscillator
A nonlinear oscillator (10) includes a neural network (12) having at least one output (12a) for outputting a one dimensional vector. The neural network includes a plurality of layers, including an...
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5446829 |
Artificial network for temporal sequence processing
A computer-based artificial network is presented that is capable of learning, recognizing, and generating temporal-spatial sequences. The network system includes time-delays and artificial neural...
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5444796 |
Method for 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 1's and 0's randomly or arbitrarily for a small number of outputs. The...
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5444819 |
Economic phenomenon predicting and analyzing system using neural network
An economic phenomenon predicting and/or analyzing system using a neural network. In the disclosed system, time series data indicating economic phenomena are input to preparation modules, and...
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5444820 |
Adaptive system and method for predicting response times in a service environment
A hybrid fuzzy logic/neural network prediction system and method is disclosed for predicting response times to service requests to a service provider. Data from a historical database of records...
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5442730 |
Adaptive job scheduling using neural network priority functions
A job scheduler makes decisions concerning the order and frequency of access to a resource according to a substantially optimum delay cost function. The delay cost function is a single value...
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5442543 |
Neural filter architecture for overcoming noise interference in a non-linear, adaptive manner
The non-linear filter architecture according to the invention provides a neural network for modelling a non-linear transfer function, there being supplied to the neural network, on the input side,...
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5440670 |
Error control system and method
Code word generation by recursive reverse flows in a neural network, and transmission systems encoding using such code words. The neural network (30) may be an array of operational amplifiers (34)...
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5438645 |
Neural network which uses a monitor
A neural network includes a monitor circuit for monitoring an output value of each neuron and a weighting calculation circuit for calculating a weighting between neurons in accordance with...
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5438644 |
Translation of a neural network into a rule-based expert system
A rule-based expert system is generated from a neural network. The neural network is trained in such a way as to avoid redundancy and to select input weights to the various processing elements in...
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5438629 |
Method and apparatus for input classification using non-spherical neurons
A classification method and apparatus for classifying an input into one of a plurality of possible outputs. Information representative of the input is compared to a neuron, where the neuron...
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5434950 |
Method for making handover decisions in a radio communications network
The invention relates to a method for making handover decisions in a radio communication network comprising a number of fixed base stations and a number of mobile units. The method utilizes an...
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5434951 |
Neural network system having minimum energy function value
N neural networks having different set-values are provided, where N is an integer greater than 2. Each neural network has plurality of artificial neurons and processes information. An optimal...
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5430829 |
Learning method for a data processing system
A learning method for a data processing system comprising an input layer and an output layer which comprise a plurality of neurons, each of which outputs predetermined data after activating...
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5430830 |
Adaptive weight adjusting circuit for an neural network
A processing element utilizing the learning algorithm Wi =Wi-1 +Aiwhere Ai is one of η*(Xi -Wi-1), +1, -1, and 0, andwhere: Wi =a weight, Wi-1 =a previous weight, η=a plasticity signal, and Xi =...
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5428710 |
Fast temporal neural learning using teacher forcing
A neural network is trained to output a time dependent target vector defined over a predetermined time interval in response to a time dependent input vector defined over the same time interval by...
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5426721 |
Neural networks and methods for training neural networks
Novel neural networks and novel methods for training those networks are disclosed. The novel networks are feedforward networks having at least three layers of neurons. The training methods are easy...
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5422981 |
Pattern recognition method and apparatus using a neural network
A method and apparatus for using a neural network to categorize patterns from pattern feature data derived from the patterns. The average of all the learning data of the neural network is...
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5420810 |
Adaptive input/output apparatus using selected sample data according to evaluation quantity
The adaptive input-output apparatus comprises a data holding portion which holds sample data for determining an input/output function, a data selector which uses a predetermined evaluation standard...
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5420964 |
System, for learning an external evaluation standard
This invention pertains to neural network system for learning an external evaluation standard and for learning the evaluation from the outside for the processing result, in a system capable of...
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5419197 |
Monitoring diagnostic apparatus using neural network
A monitoring diagnostic apparatus for detecting an abnormality occurring in an object being monitored such as electrical equipment and determining the cause of the abnormality is disclosed. First...
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5418886 |
Knowledge information processing system including two associative memory groups each including a plurality of associated memory units
The knowledge information processing system includes a first and second associative memory unit groups. The associative memory units of the first associative memory unit group 1 associates a...
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5416888 |
Neural network for fuzzy reasoning
A multi-layered type neural network for a fuzzy reasoning in which an if-part of a fuzzy rule is expressed by a membership function and a then-part of the fuzzy rule is expressed by a linear...
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5414619 |
Method and device for controlling object to be controlled using learning function
A method and an apparatus for controlling an object by giving commands to actuators that control the object to perform desired operations, wherein relationships between respective values of...
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5412256 |
Neuron for use in self-learning neural network
A neuron for use in a self-learning neural network comprises a current input node at which a plurality of synaptic input currents are summed using Kirchoff's current law. The summed input currents...
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5408424 |
Optimal filtering by recurrent neural networks
A method and an apparatus are disclosed for processing a measurement process to estimate a signal process. The method synthesizes realizations of a signal process and a measurement process into a...
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5404423 |
Method and apparatus for indetification, forecast, and control of a non-linear flow on a physical system network using a neural network
A neural network system for identifying forecasting, and controlling a non-linear flow on a physical system network, in which each branch between nodes in the physical system network is divided by...
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5402521 |
Method for recognition of abnormal conditions using neural networks
According to the present invention, a method for recognition of normal and abnormal conditions can be performed with at least one neural network. First, trend data of an object system, before a...
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5398302 |
Method and apparatus for adaptive learning in neural networks
A method enabling a neural network, having weights organized into a weight vector, to learn, comprising the steps of: (a) assigning a first memory location for storing a first learning rate, a...
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5396565 |
Pattern recognition neural net insensitive to disturbances in inputs
In a neural network assembly for use in pattern recognition, a memory region memorizes reference patterns along with their categories. A pattern associator neural network is connected to the memory...
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5390284 |
Learning method and apparatus for neural networks and simulator with neural network
A neural network (100) has an input layer, a hidden layer, and an output layer. The neural network stores weight values which operate on data input at the input layer to generate output data at the...
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5390285 |
Method and apparatus for training a neural network depending on average mismatch
A method of training a neural network (2) having dynamically adjustable parameters controlled by a controller (10) which determine the response of the network (2). A set of input vectors (Il to In)...
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H001415 |
Signal processor/analyzer with a neural network coupled to an acoustic charge transport (act) device (act)
The Unique Neural Network Signal Processor/Analyzer (UNSPA), for real-time analysis of analog signals, involves combining acoustic charge transport (ACT) device(s) and an artificial neural network...
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5386496 |
Method and device for nonlinear transformation of colour information by neural network
Color information such as a combination of fundamental colors in the subtractive or additive color mixing, hue, chroma and value in the psychological attributes of color, or coordinate values in a...
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5384895 |
Self-organizing neural network for classifying pattern signatures with `a posteriori` conditional class probability
A self-organizing neural network and method for classifying a pattern signature having N-features is provided. The network provides a posteriori conditional class probability that the pattern...
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5384896 |
Learning machine
A learning machine with multi-input single-output circuits connected in hierachical structure, wherein product-sums of the output signals of input and output signal registers and the weights are...
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5376963 |
Neural network video image processor
A signal processing system for a video camera uses a single neural network to implement multiple nonlinear signal processing functions. In one example, the neural network implements gamma...
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