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Off-line handwritten Chinese character recognition based on GA optimization BP neural network

Huan Chen, Xiangnian Huang, Ping Cheng, Yan Xu
2013 Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET-2013)   unpublished

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For the shortcomings of traditional BP neural network, which are easy to fall into local extreme and slow convergence, but the genetic algorithm has the characteristics of global optimization. We combine the two to form an optimized BP neural network algorithm. This method combines the advantages of neural networks and genetic algorithms, which can effectively improve the recognition rate and recognition speed of off-line handwritten Chinese character.
doi:10.2991/icibet.2013.144 fatcat:t6bssyffrndkdpva727yyixsui
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Huan Chen, Xiangnian Huang, Ping Cheng, Yan Xu. "Off-line handwritten Chinese character recognition based on GA optimization BP neural network." Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET-2013) (2013)