Multi-objective Supervised Clustering GA and Microthermal Climate Forecast

摘要：

A new multi-objective supervised clustering genetic algorithm is proposed in this paper. Training samples are supervised clustered by attribute similarity and class label. The number and center of class family can be determined automatically by using the fitness vector function. The two key elements have optimization nature and can be unaffected by subjective factors. Use the nearest neighbor rule and the class label to estimate the class families of test samples. The early warning model is implemented by C＃, using the data of summery abnormal microthermal climate in Zhejiang province. The experiment results indicate that this algorithm has a unique intelligence and high accuracy.

关键词： multi-objective GA supervised clustering nearest neighbor rule weather forecast

作者: Zhang Hongwei Yang Zhenyu Zou Shurong

作者单位: College of Computer Chengdu University of Information Technology Chengdu, P,R, China

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 643-646

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）