Sign up


Match Document Document Title
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 speech-recognition system for recognizing isolated words includes pre-processing circuitry for performing analog-to-digital 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 self-learning neural network  
A channel equalizer is formed using a self-learning neural network. During a training period, the neural network is taught the channel response function. The network is then used to equalize...
5504839 Processor and processing element for use in a neural network  
A synaptic processor for use in a neural network produces a result signal in response to an input signal. The synaptic processor initializes an input expectation and receives an input signal. The...
5498943 Feedback control device  
A feedback control device at a certain control time, predicts a feedback quantity at the next control time on the basis of a feedback quantity fed back from a controlled object and then performs a...
5497448 Learning type waveform recognizer  
The invention is a learning type waveform recognizer that has a sequential signal extractor that extracts changes in the values of an input waveform signal at each point on the transition axis, a...
5495430 Process time estimating apparatus  
A process time estimating apparatus is disclosed for estimating the process time for manufacturing an object such as a metal die. The apparatus includes a process time estimating section, a process...
5493631 Stabilized adaptive neural network based control system  
A neural network based control system includes a nominal control system augmented by adaptive control such as a neuro-controller which generates additional compensating control signals based on...
5493688 Pattern categoritzation system having self-organizing analog fields  
Pattern categorization is provided by a self-organizing analog field/layer which learns many-to-many, analog spatiotemporal mappings. The field/layer employs a set of input nodes, each input node...
5491776 Signal processing apparatus and learning method therefor  
Mathematical calculation processing is executed at a high speed for an input signal of image information or the like. Weight coefficients corresponding to a DCT (discrete cosine transform) are set...
5490236 Method of assigning initial values of connection parameters to a multilayered neural network  
A generator in a back propagation type neural network having an input layer, an output layer and an intermediate layer coupled the input and output layers forms initial values for connection...
5487133 Distance calculating neural network classifier chip and system  
An adaptive distance calculating neural network classifier chip accepts high dimensionality input pattern vectors with up to 256 5-bit elements per vector and compares the input vector with up to...
5486999 Apparatus and method for categorizing health care utilization  
An apparatus and method for categorizing health care utilization provides an efficient aid in identifying patients who are seeking inappropriate care. The invention involves a computer system...
5485547 Recognition unit and recognizing and judging apparatus employing same  
A recognizing and judging apparatus includes a plurality of recognition units organized in a multi-layered hierarchical network structure. Some recognition units include a signal input section for...
5485545 Control method using neural networks and a voltage/reactive-power controller for a power system using the control method  
A neural network apparatus and method for use in applications such as in a voltage/reactive-power controller in which a neuro control-object simulator and a neuro controller pre-learn so as to make...
5485546 Discrimination and testing methods and apparatus employing adaptively changing network behavior based on spatial and heterocellular modification rules  
An apparatus for categorizing objects employs a neural network having a plurality of cells each having memory for storing a state variable, and a plurality of synaptic junctions connecting cells of...
5485548 Signal processing apparatus using a hierarchical neural network  
In a neural network configured of neuron model cells, each neuron model cell is adapted to hold an input signal when a forward process is performed and to hold an error signal inputted when a...
5479576 Neural network learning system inferring an input-output relationship from a set of given input and output samples  
A neural network learning system in which an input-output relationship is inferred. The system includes a probability density part for determining a probability density on a sum space of an input...
5479569 Intelligence information processing method  
An intelligence information processing system is composed of an associative memory and a serial processing-type computer. Input pattern information is associated with the associative memory, and...
5479570 Learning and recognition machine  
A learning and recognition machine has a major classification section for classifying an input pattern into a plurality of category groups and calculating a group belongingness to each category...
5479571 Neural node network and model, and method of teaching same  
The present invention is a fully connected feed forward network that includes at least one hidden layer 16. The hidden layer 16 includes nodes 20 in which the output of the node is fed back to that...
5479574 Method and apparatus for adaptive classification  
A neural network and method for pipeline operation within a neural network which permits rapid classification of input vectors provided thereto is disclosed. In a training mode, a plurality of...
5475793 Heuristic digital processor using non-linear transformation  
A heuristic processor incorporates a digital arithmetic unit arranged to compute the squared norm of each member of a training data set with respect to each member of a set of centers, and to...
5473730 High efficiency learning network  
Nodal outputs are discretized to values of S2n where n is an integer and S is equal to +1 or -1. During forward propagation, this offers the advantage of forming a product of a nodal output and a...
5473731 Lattice based dynamic programming classification system  
An integrated circuit lattice chip for computation of dynamic programming (DP) recursions uses identical nodal processor units arranged in regular lattice form. Interconnections between processor...
5469530 Unsupervised training method for a neural net and a neural net classifier device  
Unsupervised training method for a neural net and a neural net classifier device wherein test vectors are supplied to the neural net whose operational parameters are classified in a stochastic...
5467427 Memory capacity neural network  
Hopfield and BAM neural network training or learning rules allowing memorization of a greater number of patterns. Successive over-relaxation is used in the learning rules based on the training...
5467428 Artificial neural network method and architecture adaptive signal filtering  
An architecture and data processing method for a neural network that can approximate any mapping function between the input and output vectors without the use of hidden layers. The data processing...
5465308 Pattern recognition system  
A method and apparatus under software control for pattern recognition utilizes a neural network implementation to recognize two dimensional input images which are sufficiently similar to a database...
5465204 Heuristic control system employing expert system, neural network and training pattern generating and controlling system  
A heuristic control system and method for use with a computer-aided design, capable of learning complicated control and achieving an optimizing task with a fewer number of iteration. The heuristic...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...