Neural network for learning, recognition and recall of pattern s

Details Neural network for learning, recognition and recall of pattern s Neural network for learning, recognition and recall of pattern s

1991-06-14

1993-10-19

Fleming, Michael R.

395 21, G06F 1518

Patent

active

052553485

ABSTRACT:
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 Katamic system utilizes three basic types of neuron-like elements with different functional characteristics called predictrons, recognitrons and bi-stable switches. The Katamic System is clock operated, processing input sequences pattern by pattern to produce an output pattern which is a prediction of the next pattern in the input sequence. The Katamic System learns rapidly, has a large memory capacity, exhibits sequence completion and sequence recognition capability, and is fault and noise tolerant. The system's modular construction permits straightforward scaleability.

REFERENCES:
patent: 4914708 (1990-04-01), Carpenter et al.
patent: 4979124 (1990-12-01), Sachse et al.

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