Title :
Handwritten digital recognition based on GA-BP neural networ
Author_Institution :
Fac. of Technol., Harbin Univ., Harbin, China
Abstract :
This paper briefly introduced the genetic algorithm (GA) and, BP algorithm (Back Propagation Algorithm), and proved the BP neural network of handwritten digital recognition performance is superior to the only use in the BP neural network of handwritten digital recognition on the basis of the practical application of handwritten digital recognition based on GA - BP.
Keywords :
backpropagation; genetic algorithms; handwriting recognition; neural nets; GA-BP neural network; back propagation algorithm; genetic algorithm; handwritten digital recognition; Biological neural networks; Convergence; Feature extraction; Genetic algorithms; Handwriting recognition; Training; Back Propagation Algorithm; Genetic Algorithm; handwritten digital recognition;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6011347
