Learning method for a data processing system with neighborhoods

Details Learning method for a data processing system with neighborhoods Learning method for a data processing system with neighborhoods

1991-04-03

1993-10-26

MacDonald, Allen R.

G06F 1518

Patent

active

052573427

ABSTRACT:
A learning method for a neural network type data processing system determines activation patterns in an input layer and output layer arbitrarily, increases weights of synapses in a middle layer and the output layer so that neuron activate with more than a certain rate among those corresponding to neurons in the input layer and the output layer and repeats the same process for each neuron in the middle layer. The input layer and output layer possess a plurality of neurons which activate and output certain data according to a specific result and the middle layer is between the input layer and output layer. The middle layer also possesses a plurality of neurons which are connected to each neuron in the input layer and output layer.

REFERENCES:
patent: 4874963 (1989-10-01), Alspector
patent: 5033066 (1991-07-01), Ishizuka et al.
Lampinen et al., Fast Self-Organization by the Probing Algorithm, Lappennranta University of Technology, Department of Information Technology, Box 20 Sf-53851 Lappeenranta, Finland.

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