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Class 706/25 - Learning method


Subclass of Class 706 - Data processing: artificial intelligence
Definition: Subject matter wherein the system acquires its internal
No. of patents: 862
Last issue date: 04/10/2012


                    22  
NumberTitleIssue Date
4912655Adjusting neural networks
A method of accelerating the training of an artificial neural network uses a computer configured as an artificial neural network with a network input and a network output, and having a plurality of interconnected units arranged in layers including an inpu...
03/27/1990
4912649Accelerating learning in neural networks
A method of accelerating the training of an artificial neural network uses a computer configured as an artificial neural network with a network input and a network output, and having a plurality of interconnected units arranged in layers including an inpu...
03/27/1990
4912651Speeding learning in neural networks
A method of accelerating the training of an artificial neural network uses a computer configured as an artificial neural network with a network input and a network output, and having a plurality of interconnected units arranged in layers including an inpu...
03/27/1990
4912652Fast neural network training
A method of accelerating the training of an artificial neural network uses a computer configured as an artificial neural network with a network input and a network output and having a plurality of interconnected units arranged in layers including an input...
03/27/1990
4912653Trainable neural network
A trainable artificial neural network includes a computer configured as a plurality of interconnected neural units arranged in a layered network. An input layer has a network input and an output layer has a network output. A neural unit has a first subuni...
03/27/1990
4897811N-dimensional coulomb neural network which provides for cumulative learning of internal representations
A learning algorithm for the N-dimensional Coulomb network is disclosed which is applicable to multi-layer networks. The central concept is to define a potential energy of a collection of memory sites. Then each memory site is an attractor of other memory...
01/30/1990
4893255Spike transmission for neural networks
Pulse trains are utilized for the transmission of information in a neural network. A squash function is achieved by logically OR'ing together pulsed outputs, giving f(x) approximately 1-e-x. For Back Propagation, as derived by Rumelhart, the de...
01/09/1990
4874963Neuromorphic learning networks
A neuron network which achieves learning by means of a modified Boltzmann algorithm. The network may comprise interconnected input, hidden and output layers of neurons, the neurons being "on-off" or threshold electronic devices which are symmetrically con...
10/17/1989
4866645Neural network with dynamic refresh capability
An analog neural network composed of an array of capacitors for storing weighted electric charges. Electric charges, or voltages, on the capacitors control the impedance (resistance) values of a corresponding plurality of MOSFETs which selectively couple ...
09/12/1989
4858147Special purpose neurocomputer system for solving optimization problems
A network of N parallel processors are each one cross-connected to each other. Each cross connection includes a nodal weight delay circuit which carries status information as to whether a processor is "on" (=1) or "off" (=0) and whether its weighted influ...
08/15/1989
4849925Maximum entropy deconvolver circuit based on neural net principles
Disclosed are two modifications of the Tank-Hopfield circuit, each of which enables the deconvolution of a signal in the presence of noise. In each embodiment, the Tank-Hopfield circuit is modified so that the equation for total circuit energy reduces to ...
07/18/1989
4802103Brain learning and recognition emulation circuitry and method of recognizing events
There is disclosed herein a method and apparatus for learning the characteristics of an event and for recognizing events which have been previously learned. The apparatus is comprised of forward and feedback matrices which process input signals characteri...
01/31/1989
4752906Temporal sequences with neural networks
A sequence generator employing a neural network having its output coupled to at least one plurality of delay elements. The delayed outputs are fed back to an input interconnection network, wherein they contribute to the next state transition through an ap...
06/21/1988
4731747Highly parallel computation network with normalized speed of response
Superior performance is achieved by equalizing the time constants of amplifiers used in highly parallel computational networks. In accordance with one aspect of the invention a feedback arrangement is employed with the resistance between the input of each...
03/15/1988
4660166Electronic network for collective decision based on large number of connections between signals
Amplifiers, optionally having complementary (positive and negative) outputs, are connected to a matrix of input and output conductors (where the output conductors are each a pair for the case of complementary amplifier outputs). Each connection is impleme...
04/21/1987
4326259Self organizing general pattern class separator and identifier
A system is provided for the separation into and the indentification of classes of events wherein each of the events is represented by a signal vector comprising the signals s, sz . . . , sj . . . , sN. The system comprise...
04/20/1982
4254474Information processing system using threshold passive modification
An adaptive information processing system includes input terminals adapted to receive N input signals s1, s2, . . . sN representing an "input"; output terminals adapted to present n output responses r1, R2
03/03/1981
4044243Information processing system
A digital adaptive information processing system which executes the algorithm described in our U.S. Pat. No. 3,950,733 issued April 13, 1976. The system includes a digital input register adapted to receive and store N numbers s1, s2,...
08/23/1977
3950733Information processing system
An adaptive information processing system includes a module, called a Nestor module, having a plurality (N) of input terminals 1, 2 . . . , j . . . , N, adapted to receive N input signals s1, s2 . . . , sj . . . , SN
04/13/1976
                    22  
 
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