神经网络PID在温度控制系统中的研究与仿真

本文提出一种基于BP神经网络的新型智能PID控制方法和一些BP神经网络的基本概念。同传统的PID控制相比较．神经网络智能PID控制有许多优点。把BP神经网络的PID控制方法应用到工业领域的温度控制系统中，仿真结果表明：这种控制方法具有较高控制精度和较强的适应性以及良好的控制效果。

Exploration And Simulation of Neural Network PID In Temperature Control System

This paper presents a new kind of intelligence PID control method on BP neural network and some of basic concepts about BP neural network . Neural network intelligence PID controller has many advanced properties compared with traditional PID controller. The BP neural network PID control method is applied to temperature control system in industry field. The simulation results show that the control method has high control accuracy ,strong adaptation and excellent control results.