Match

Document 
Document Title 

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...


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 neurocontroller which generates additional compensating control signals based on...


5493688 
Pattern categoritzation system having selforganizing analog fields
Pattern categorization is provided by a selforganizing analog field/layer which learns manytomany, 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 5bit 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 multilayered hierarchical network structure. Some recognition units include a signal input section for...


5485545 
Control method using neural networks and a voltage/reactivepower controller for a power system using the control method
A neural network apparatus and method for use in applications such as in a voltage/reactivepower controller in which a neuro controlobject simulator and a neuro controller prelearn 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 inputoutput relationship from a set of given input and output samples
A neural network learning system in which an inputoutput 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 processingtype 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 nonlinear 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 overrelaxation 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 computeraided design, capable of learning complicated control and achieving an optimizing task with a fewer number of iteration. The heuristic...
