A Class of Hybrid Strategy for Adaptive IIR Filter Design

摘要：

Reasonably combining the parallel search ability of genetic algorithm with the controllable jumping property of simulated annealing, a class of effective hybrid optimization strategy with the operators and parameters well designed is proposed for designing adaptive IIR filter in this paper. Simulation results based on benchmarks and comparisons with the least-mean-square (LMS) algorithm, pure genetic algorithm and simulated annealing demonstrate the effectiveness of the proposed hybrid strategy.

作者: Ling Wang Wen-feng Li Da-zhong Zheng

作者单位: Department of Automation, Tsinghua University Beijing 100084, China

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 123-127

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）