摘要
Abstract
The aluminum electrolysis process is a very complicated nonlinear,timevarying and Large time delay industrial process system,so it is difficult to use conventional control method reach the good control effect,this paper put forward to solve this problem with the improved Elman neural network model to its,introduces the improvement Elman neural network structure and learning algorithm;Analysis of the influence of the main factors of alumina concentration,and according to the actual situation of the input layers and determine the middle of hidden layer of dimension,so as to determine the structure of the model.Through the collection of the data simulated,and the results show that：the conventional Elman neural network convergence speed and stability have increased significantly,the results obtained.关键词
改进Elman神经网络/建模/仿真Key words
Improve Elman Neural Network/Modeling/Simulation分类
信息技术与安全科学
