基于BP神经网络的时延水温控制系统设计

Design of Delay Water Temperature Control System Based on BP Neural Network

神经网络具有自组织、自学习、自适应的特点,近年来随着计算机技术的发展,为其网络优异的函数逼近性能和分类性能应用于工程提供了硬件基础,神经网络由于其大多结构简单,算法易于理解和使用,有利于工程人员应用解决实际问题。本文介绍了BP神经网络在时延控制对象中的建模,建立了一个基于BP神经网络的预测模型,在Matlab中对几种使用神经网络模型的控制方案进行了研究和比较。

Neural network is characterized by self-organizing,self-learning and self-adapting.The development of computer technology provides hardware foundation forapplying the outstanding approaching capability and sorting capability of neural network function.Due to the simple structure and comprehensible and practical arithmetic of neural network,engineers have a much easy access to applying it to solving problems.It concentrates on modeling in controlling objects by neural network in long time delay,sets up a predicted model based on BP neural network, through Matlab, several neural network control methods are compared.