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NONLINEAR OBJECT IDENTIFICATION OF CONTROL SYSTEMS ON BASIS OF THREE-LAYER ARTIFICIAL NEURAL NETWORK OF PREDETERMINED STRUCTURE
Journal: Electromechanical and energy saving systems (Vol.3, No. 19)Publication Date: 2012-09-30
Authors : V. Kalashnikov; O. Kollarov;
Page : 526-527
Keywords : Gauss function; neural network; the initialization.;
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- NONLINEAR OBJECT IDENTIFICATION OF CONTROL SYSTEMS ON BASIS OF THREE-LAYER ARTIFICIAL NEURAL NETWORK OF PREDETERMINED STRUCTURE
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Abstract
In the paper was considered three-layer artificial neural network of predetermined structure. The theory was developed for calculating the weighting factors, the choice of network structure and neurons relationson condition that physical or mathematical model of the object is it.
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Last modified: 2015-06-05 02:32:11