摘要
基于小生境技术和免疫算法,提出了一种特异性免疫的遗传算法。将该算法应用于神经网络控制器的优化,对非线性系统进行仿真实验,结果表明该方法比传统的控制方法有更好的控制效果。
A new specific immune genetic algorithm based on niche technique and immune algorithm was proposed, This algorithm was used to optimize neural network controller, which could control a non-linear system well. Simulation results demonstrate the method has well control effect.
出处
《机械工程与自动化》
2012年第5期32-33,共2页
Mechanical Engineering & Automation
基金
太原科技大学校青年基金资助项目(20093011)
关键词
特异性免疫
遗传算法
神经网络
specific immune
genetic algorithm
neural network
