Optimal Model and Non-linear Rectification Method Based on Annealing-inspired Genetic Algorithm in Sensors

摘要：

In order to solve the problems on the non-linearity rectification of sensor systems, this paper combines with the advantages of genetic algorithm and simulated annealing, brings forward a non-linearity rectification method based on annealing-inspired genetic algorithm. The results of experiment show that not only the method can correct the nonlinearity, but also the precision after correcting is better than least square method.

关键词： sensor non-linearity rectification genetic algorithm annealing-inspired genetic algorithm least square algorithm

作者: Wang Jianfang

作者单位: College of Computer and Information Technology Nanyang Normal University Nanyang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Educational and Network Technology(2010教育与网络技术国际会议 ICENT 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 553-556

在线出版日期: 2010-06-25（万方平台首次上网日期，不代表论文的发表时间）