Algorithm of artificial neural network architecture and training set size configuration within approximation of dynamic object behavior

Компьютерные исследования и моделирование

关键词: dynamic object model;    training set;    artificial neural network;    architecture;    training;    optimization of artificial neural network architecture;   

DOI  :  10.20537/2076-7633-2015-7-2-243-251

来源: DOAJ

【 摘 要 】

The article presents an approach to configuration of an artificial neural network architecture and a training set size. Configuration is based on parameter minimization with constraints specifying neural network model quality criteria. The algorithm of artificial neural network architecture and training set size configuration is applied to dynamic object artificial neural network approximation.Series of computational experiments were performed. The method is applicable to construction of dynamic object models based on non-linear autocorrelation neural networks.

【 授权许可】

Unknown