Key shape recognition algorithm based on Genetic Neural Network

摘要：

To avoid the BP (Back-Propagation) Networks disadvantages of low training speed, prone to trapping in a local optimum and poor capability of global search, this paper establishes the model of key based on generic algorithm with the research on the key shape, by optimizing the initialized weights and threshold of neural network with GA. After the test of the program complied by MATLAB language and the comparison with pure BP algorithm, the results show that the methods suggested by this paper improve both the accuracy of predicting and the rate of convergence.

关键词： Generic Algorithm BP Neutral Network Key shape recognition

作者: YANG Hong-tao LI Hui LI Xiu-lan ZHAO Dan-dan

作者单位: Institute of Electrical and Electronic Engineering Changchun University of Technology Changchun, Chi Institute of Electrical and Electronic Engineering Changchun University of Technology Changchun,hina Institute of Mechanical Science and Engineering Jilin University Changchun, China Aviation Control Engineering Department Aviation University of Airforce Aviation Changchun,China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 270-273

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）