摘要
在机器人地面控制中,针对BP算法易陷入局部极小、收敛速度慢的缺点,根据遗传算法具有全局寻优的特点,将二者结合起来形成一种训练神经网络的混合GA-BP算法;通过算法比较和实例结果分析,表明该算法可以有效、可靠地运用于机器人地面控制,并可方便地应用于其它方面。
A combining algorithm for neural network training is formed by combining BP algorithm and genetic algorithm on robot control,in order to overcome the shortcomings that BP algorithm is usually trapped to a local optimum and it has a low speed of convergence weights,according to the advantage of the globe optimal searching of genetic algorithm.This algorithm can effectively and reliably be used in the by comparing the two algorithms and analyzing the results of real examples.This algorism can also effectively be used in other fields.
出处
《工业控制计算机》
2008年第2期42-43,45,共3页
Industrial Control Computer
基金
江苏省高校自然科学研究指导性计划项目(KK0410182)
