烧结料加水混合过程的改进神经网络建模

Modeling of water feeding process for sinter-mixture by modified neural network

针对烧结料加水混合过程自动控制,采用改进的BP神经网络建立该过程的模型。仿真结果证明了改进BP神经网络建模可以很好地逼近实际烧结料加水混合过程,并克服基本BP神经网络学习时间长的缺陷。

Aimed at automatic control for water feeding process in sinter-mixture, this paper presents a modified BP Neural network. Simulation indicates that the proposed algorithm is capable of well approaching the feeding process. It is also effective in overcoming the defect of long-learning time for conventional BP algorithm.