摘要
针对进化算法中的"退化"问题和小波神经网络的"维数灾"问题,将免疫算法和进化算法相结合,在引入混沌机制的基础上,提出了一种基于免疫进化算法的小波神经网络混沌优化设计方法。该方法既充分发挥了小波神经网络的快速性,又充分利用了免疫算法的全局性、适应性等特点。仿真结果表明了该算法的有效性。
In this paper, a chaos optimized method of wavelets neural network based on immune evolving algorithm is presented under the foundation of introducing chaos mechanism and combining the immune algorithm with evolving algorithm aiming at the'degenerative'problem of evolving algorithm and the'dimension overrun'problem of wavelets neural network. This method both exerts fully the fast characteristic of wavelets neural network and makes good use of global and adaptive characteristic of immune algorithm. The results of simulation experiment indicate the algorithms effectiveness.
出处
《西安理工大学学报》
CAS
2004年第3期259-262,共4页
Journal of Xi'an University of Technology
关键词
免疫进化算法
小波神经网络
优化设计
混沌
immune evolving algorithm
wavelets neural network
optimizing design
( chaos)
