NEURAL NETWORK TRAINING CONTROLLER WITH GENETIC ALGORITHM Russian patent published in 2016 - IPC G06N3/08 G06N3/12 G06F15/18 

Abstract RU 2602973 C1

FIELD: electronics.

SUBSTANCE: invention relates to smart controllers using genetic algorithm to search for neural network structure and its weight coefficients of its synaptic connections. Device comprises a controlled object, neural network training unit, unit for estimating the efficiency of the neural network, data unit, neural network unit, control unit, genetic algorithm unit, chromosome history unit and unit for estimating chromosomes.

EFFECT: technical result is enhanced speed characteristics of searching structure neural network and simplification of the final implementation of the control system based on the controller.

1 cl, 1 dwg

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RU 2 602 973 C1

Authors

Kljuchko Vladimir Ignatevich

Shumkov Evgenij Aleksandrovich

Dates

2016-11-20Published

2015-09-30Filed