DocumentCode
619753
Title
The BP neural network´s GA optimization and its realization on MATLAB
Author
Peng Hao-yue
Author_Institution
Sch. of Manage. Sci. & Eng., Shanxi Univ. of Finance & Econ., Taiyuan, China
fYear
2013
fDate
25-27 May 2013
Firstpage
536
Lastpage
539
Abstract
Based on the analysis of The BP Neural Network´s structure and drawbacks, the article uses the Genetic Algorithms to optimize initial weights and thresholds. It still uses function simulation to compare these two neural networks based on the MATLAB. The results show that GA-BP neural networks can reduce the function time and make it more scientific.
Keywords
backpropagation; genetic algorithms; neural nets; BP neural network; GA optimization; GA-BP neural networks; MATLAB; function simulation; genetic algorithms; Biological neural networks; Educational institutions; Genetic algorithms; MATLAB; Optimization; Training; Back-Propagation; Genetic Algorithms; MATLAB; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6560982
Filename
6560982
Link To Document