The Demarcating Method of Infrared Image Measuring Temperature Based on GA-BP Network

摘要：

According to temperature demarcation of infrared image measuring temperature, one demarcating method based on GA-BP network is proposed in this paper. This method is that the structural parameters of BP neural network is optimized by using genetic algorithm, then the temperature demarcation is carried on through obtained the best structural BP neural network. According to using the global search ability of genetic algorithm and local search ability accurately of BP neural network, so as to improved the accuracy of temperature calibration. It can be seen that through MATLAB simulation tests, using this method carry out temperature demarcation is superior to BP neural network from convergence precision and convergence speed.

关键词： GA-BP network Infrared temperature demarcation BP neural network Genetic algorithm

作者: Shuaiyin Wang Yongtao Zhang Yajuan Wang

作者单位: College of computer and automatic control Hebei Polytechnic University Tanshan,Hebei,China College of computer and automatic control Hebei Polytechnic University Tanshan,Hebei, China College of Computer and Automatic Control Hebei Polytechnic University Tanshan, Hebei, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 97-100

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）