The paper deals with a controller design for the nonlinear processes using genetic algorithm and neural model. The aim was to improve the control performance using genetic algorithm for optimal PID controller tuning. The plant model has been id

在matlab软件中编程实现基于遗传算法优化BP神经网络非线性系统拟合算法-In the matlab software programming based on genetic algorithm to optimize the BP neural network nonlinear system fitting method