%0 Journal Article
%A LIU Shao-hua
%A LUO Rong-lei
%A SU Chen
%T Garment Sales Forecast Method Based on Genetic Algorithm and BP Neural Network
%D 2014
%R 10.13190/j.jbupt.2014.04.009
%J Journal of Beijing University of Posts and Telecommunications
%P 39-43
%V 37
%N 4
%X <p>The neural network learning models was proposed, focusing on complexity and particularity of product sales in garment industry. The network model was established to predict the impact on garment sales on basis of factor analysis and optimized by using genetic algorithms for each connection weights of back propagation (BP) neural network. The method combines the strong learning ability of the BP neural and the global search capability of genetic algorithms.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2014.04.009