Parameter Estimation for PMSM based on a Back Propagation Neural Network Optimized by Chaotic Artificial Fish Swarm Algorithm
نویسندگان
چکیده
منابع مشابه
Application research based on Artificial Fish-swarm Neural Network
Sinter tumbler strength is an important parameter in the sintering process, and has an important influence on the performance of finished sinter. Artificial fish swarm algorithm have good ability to acquire the global performance, the neural network has strong nonlinear ability and local optimization performance,; AFSA+BP algorithm combined with artificial fish swarm algorithm and BP algorithm,...
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ژورنال
عنوان ژورنال: INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL
سال: 2020
ISSN: 1841-9844,1841-9836
DOI: 10.15837/ijccc.2019.6.3705