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| Number | Title | Issue Date |
| 5033006 | Self-extending neural-network A self-extending shape neural-network is capable of a self-extending operation in accordance with the studying results. The self-extending shape neural-network has initially minimum number of the intermediate layers and the number of the nodes (units) wit... | 07/16/1991 |
| 5023833 | Feed forward neural network for unary associative memory Feed forward neural network models for associative content addressable memory utilize a first level matrix of resistor connections to store words and compare addressing cues with the stored words represented by connections of unit resistive value, and a w... | 06/11/1991 |
| 4979126 | Neural network with non-linear transformations A neural network system includes means for accomplishing artificial intelligence functions in three formerly divergent implementations. These functions include: supervised learning, unsupervised learning, and associative memory storage and retrieval. The ... | 12/18/1990 |
| 4941122 | Neural network image processing system A neural-simulating system for an image processing system includes a plurality of networks arranged in a plurality of layers, the output signals of ones of the layers provide input signals to the others of the layers. Each of the plurality of layers inclu... | 07/10/1990 |
| 4918618 | Discrete weight neural network A Neural Network using interconnecting weights each with two values, one of which is selected for use, can be taught to map a set of input vectors to a set of output vectors. A set of input vectors is applied to the network and in response, a set of outpu... | 04/17/1990 |
| 4907170 | Inference machine using adaptive polynomial networks An inference machine is described which comprises an adaptive polynomial network with the capability of implicitly inferring missing input information contained in time-dependent signals. The proposed network has wide applicability and is characterized by... | 03/06/1990 |
| 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 |
| 4893255 | Spike 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 |
| 4874963 | Neuromorphic 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 |
