%0 Journal Article
%A ZHANG Ming
%A ZHANG Shuqun
%A LEI Zhaoyi
%T Application of improved firefly algorithm in neural network
%D 2017
%R 10.3778/j.issn.1002-8331.1508-0134
%J Computer Engineering and Applications
%P 159-163
%V 53
%N 5
%X Basic Firefly Algorithm（FA）has some bugs such that it is easy to fall into local optimum and the slow convergence speed. In order to overcome these shortcomings, the paper puts forward a Firefly Algorithm with Improved Evolution Mechanism（IEMFA）. The proposed algorithm is used to optimize the weight value of BP neural network and the result shows that the algorithm expedites the convergence rate, improves the precision and has a better global searching ability.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1508-0134