Title :
The BP neural network´s GA optimization and its realization on MATLAB
Author_Institution :
Sch. of Manage. Sci. & Eng., Shanxi Univ. of Finance & Econ., Taiyuan, China
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6560982
