Method And Technology Of Synthesis Of Neural Network Models Of Object Control With Their Hardware Implementation On Fpga

Petro I. Kravets,Volodymyr M. Shymkovych,Volodymyr Samotyy

2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)（2017）

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摘要

This work presents a method and technology of synthesis of direct and inverse neural network models of object control, and their hardware implementation of programmable logic integrated circuits, that will automate the process of synthesis of such models and shorten the time of development and research.

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关键词

neural network, adaptation, FPGA, control system

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