화학공학소재연구정보센터
Inzynieria Chemiczna i Procesowa, Vol.22, No.3C, 759-764, 2001
Frecasting range of chaotic dynamics in tubular heat recycle ractor
This paper presents the ability of data driven neural net (NN) models to identify and predict the nonlinear (including chaotic) dynamics of chosen systems. The influence of forecasting time horizon on neural net model accuracy was studied.