NONLINEAR PARAMETER-ESTIMATION VIA THE GENETIC ALGORITHM

被引:161
作者
YAO, L [1 ]
SETHARES, WA [1 ]
机构
[1] UNIV WISCONSIN,DEPT COMP ENGN,MADISON,WI 53706
关键词
Algorithms - Digital filters - Networks (circuits) - Neural networks - Parameter estimation;
D O I
10.1109/78.285655
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A modified genetic algorithm is used to solve the parameter identification problem for linear and nonlinear digital filters. Under suitable hypotheses, the estimation error is shown to converge in probability to zero. The scheme is also applied to feedforward and recurrent neural networks.
引用
收藏
页码:927 / 935
页数:9
相关论文
共 27 条
[11]  
Etter D. M., 1982, Proceedings of ICASSP 82. IEEE International Conference on Acoustics, Speech and Signal Processing, P635
[12]  
ETTER DM, 1981, P IEEE INT C ASSP, P1253
[13]  
Fitzpatrick J. M., 1988, Machine Learning, V3, P101
[14]  
Goldberg DE, 1989, GENETIC ALGORITHMS S
[15]   OPTIMIZATION OF CONTROL PARAMETERS FOR GENETIC ALGORITHMS [J].
GREFENSTETTE, JJ .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1986, 16 (01) :122-128
[16]  
HOLLAND JH, 1975, ADAPTATION NATURAL A
[17]  
JOHNSON CR, 1988, LECTURES ADAPTIVE PA
[18]  
KITANO H, 1990, 8TH P NAT C AI, P789
[19]   GENETIC ALGORITHMS APPROACH TO A NEGOTIATION SUPPORT SYSTEM [J].
MATWIN, S ;
SZAPIRO, T ;
HAIGH, K .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1991, 21 (01) :102-114
[20]  
McClelland J., 1986, PARALLEL DISTRIBUTED, V2