Neural network system adapted for non-linear processing

Details Neural network system adapted for non-linear processing Neural network system adapted for non-linear processing

1991-11-25

1995-03-28

Downs, Robert W.

395 11, 395900, 395 51, 395 61, G06F 1518, G06F 944

Patent

active

054025192

ABSTRACT:
A neural network system includes a qualitative evaluation section, a neural network section, a quantifying section and a display section. The qualitative evaluation section qualitatively analyzes an unknown data supplied thereto, and normalizes the result of analysis within a predetermined range. The neural network section having a neural network with plural neurons computes the network output data from the normalized unknown data produced by the qualitative evaluation section. Each neuron is connected to plural other neurons through synapses, each of which is assigned an individual weight coefficient. Each neuron is adapted to output an output function value assigned thereto associated with the total sum of the products of the output from the neurons connected thereto and the synapse weight coefficient. The quantifying section quantifies the network output data to produce desired data. The desired data thus produced is displayed on the display section.

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