The Research of Alphabet Identification Based on Genetic BP Neural Network

摘要：

The Back Propagation (BP) neural network genetic algorithm was used to identify alphabet, and the new algorithm combine the advantages of both genetic algorithm and the BP neural network. Genetic learning algorithm was used for the global optimization and BP training algorithm to accurately optimize the neural network weights and training the neural network to learn letter recognition algorithm. Add-noise alphabet of MATLAB simulation results show that the new network error recognition rate reduced by 10％ compared to BP neural network and the recognition speed is also faster than the traditional BP neural network with accuracy and fast convergence.

关键词： genetic algorithm BP neural network alphabet identification additive noise

作者: Lina Liu Huijuan Qi Jia Liu

作者单位: Shijiazhuang Institute of Railway Technology Shijiazhuang, China

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 25-28

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）