"Flight by machines heavier than air is unpractical and insignificant, if not utterly impossible."
Simon Newcomb, astronomer ; Said in 1902, less than two years before the first flight at Kitty Hawk
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| Number | Title | Issue Date |
| 5664068 | Method and apparatus for pattern classification using distributed adaptive fuzzy windows A method for pattern classification and, in particular, a method which distributes the classification criteria across a neural network. The classification criteria for a pattern class is stored distributively in the neural network in two aspects. First, i... | 09/02/1997 |
| 5634087 | Rapidly trainable neural tree network An apparatus and methods characterized by an electric neural network including a node having multipliers respectively receiving signals representing feature vector elements and signals representing weight vector elements to produce product signals, a summ... | 05/27/1997 |
| 5586222 | Method of storing associative information and a device therefor An input pattern or two-dimensional pattern is associated and stored with use of associative matrices having the same size as that of an input pattern without converting it into one-dimensional pattern, wherein the associative matrices are generated from ... | 12/17/1996 |
| 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 quantizer for performing a quantization according to a signal in... | 07/30/1996 |
| 5515477 | Neural networks The present invention relates to adaptive information processing systems, and in particular to associative memories utilizing confidence-mediated associations, and especially neural network systems comprising an auto-organizational apparatus and processes... | 05/07/1996 |
| 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 is done at the sibling nodes (second row). It is based on ... | 11/14/1995 |
| 5432889 | Vector neural networks A vector neural network (VNN) of interconnected neurons is provided in transition mappings of potential targets wherein the threshold (energy) of a single frame does not provide adequate information (energy) to declare a target position. The VNN enhances ... | 07/11/1995 |
| 5408588 | Artificial neural network method and architecture 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 is done at the sibling nodes (second row). It is based on ... | 04/18/1995 |
| 5394510 | Neural network-type data processing system recognizing a predetermined shape using inhibitory connections A data processing system of the neural network type. The system recognizes a predetermined shape by providing some connections that are inhibitory between a plurality of neurons in a neural layer of the neural network. If data is found in the inhibitory a... | 02/28/1995 |
| 5353383 | Neural network circuit A neural network circuit including a number n of weight coefficients (W1-Wn) corresponding to a number n of inputs, subtraction circuits for determining the difference between inputs and the weight coefficients in each input terminal, the result thereof b... | 10/04/1994 |
| 5311601 | Hierarchical pattern recognition system with variable selection weights In a pattern recognition system, input signals are applied to a short term feature representation field of nodes. A pattern from the short term feature representation field selects at least one category node in a category representation field. The selecte... | 05/10/1994 |
| 5299285 | Neural network with dynamically adaptable neurons This invention is an adaptive neuron for use in neural network processors. The adaptive neuron participates in the supervised learning phase of operation on a coequal basis with the synapse matrix elements by adaptively changing its gain in a similar mann... | 03/29/1994 |
| 5293455 | Spatial-temporal-structure processor for multi-sensor, multi scan data fusion A system is provided for associating a set of data values where each data value belongs to one of a plurality of classes and also to one of a plurality of types. The system includes an array of memory cells arranged in rows and columns, each memory cell s... | 03/08/1994 |
| 5259065 | Data processing system A data processing system of the neural network type. The system recognizes a predetermined shape by providing some connections that are inhibitory between a plurality of neurons in a neural layer of the neural network. If data is found in the inhibitory a... | 11/02/1993 |
| 5255348 | Neural network for learning, recognition and recall of pattern sequences A sequence processor for rapidly learning, recognizing and recalling temporal sequences. The processor, called the Katamic system, is a biologically inspired artificial neural network based on a model of the functions of the cerebellum in the brain. The K... | 10/19/1993 |
| 5222194 | Neural network with modification of neuron weights and reaction coefficient A neural network computation apparatus having a plurality of layers, each of the plurality of layers has at least an input layer and an output layer, each layer having a plurality of units, a plurality of links, each of the plurality of links connecting u... | 06/22/1993 |
| 5214715 | Predictive self-organizing neural network An A pattern recognition subsystem responds to an A feature representation input to select A-category-representation and predict a B-category-representation and its associated B feature representation input. During learning trials, a predicted B-category-... | 05/25/1993 |
| 5150450 | Method and circuits for neuron perturbation in artificial neural network memory modification An artificial neural network has a plurality of output circuits individually perturbable for memory modification or learning by the network. The network has a plurality of synapses individually connecting each of a plurality of inputs to each output circu... | 09/22/1992 |
| 5146541 | Signal phase pattern sensitive neural network system and method A signal phase pattern sensitive neural network system can discern persist patterns of phase in a time varying or oscillatory signal. The system employs duplicate inputs from each of its sensors to the processing elements of a first layer of its neural n... | 09/08/1992 |
| 5142666 | Learning system in a neuron computer A learning system in a neuron computer includes a neural network for receiving an analog signal from a first analog bus through an analog input port in a time divisional manner and performing a sum-of-the-products operation, and outputting an analog outpu... | 08/25/1992 |
| 5134685 | Neural node, a netowrk and a chaotic annealing optimization method for the network The present invention is a node for a network that combines a Hopfield and Tank type neuron, having a sigmoid type transfer function, with a nonmonotonic neuron, having a transfer function such as a parabolic transfer function, to produce a neural node wi... | 07/28/1992 |
| 5133021 | System for self-organization of stable category recognition codes for analog input patterns A neural network includes a feature representation field which receives input patterns. Signals from the feature representative field select a category from a category representation field through a first adaptive filter. Based on the selected category, a... | 07/21/1992 |
| 5131072 | Neurocomputer with analog signal bus An analogue neuron processor (ANP) performs an operation of sum-of-products of a time divisional analog input signal sequentially input from an analog signal bus and weight data and output an analog signal to an analog signal bus through a nonlinear circu... | 07/14/1992 |
| 5058180 | Neural network apparatus and method for pattern recognition A self-organizing neural network having input and output neurons mutually coupled via bottom-up and top-down adaptive weight matrics performs pattern recognition while using substantially fewer neurons and being substantially immune from pattern distortio... | 10/15/1991 |
| 5040214 | Pattern learning and recognition apparatus in a computer system A masking field network F2, is characterized through systematic computer simulations serves or a content addressable memory. Masking field network F2 receives input patterns from an adaptive filter F1 .fwdarw.F2... | 08/13/1991 |
| 4996648 | Neural network using random binary code Long and short term memory equations for neural networks are implemented by means of exchange of signals which carry information in the form of both binary and continuously modulated energy emissions. In one embodiment, array of parallel processors exhibi... | 02/26/1991 |
| 4897811 | N-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 |
| 4326259 | Self 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 |