INFORMATION CLASSIFIED RECOGNITION METHOD BASED ON FUZZY CONTROL
In this paper, an information pattern recognition method based on fuzzy control is set up. On one hand, the modeling method of fuzzy information classified recognition pattern has been established. On the other hand, the data from Qufu City of Shandong Province during 14 years from 1990 to 2003 is processed and analyzed. The average temperature (℃) and rainfall (mm) in April each year are considered as the input of the system, a number of Aphis gossypii Glover (AGG)occurred for the Cotton in high period are considered as the output, Fuzzy information classified recognition pattern is set up in order to recognize the occurrence degree of the AGG.The results of the returning recognition from 1990 to 2003 and the recognition for 2004 are satisfactory.
Fuzzy control Pattern recognition Classified recognition pattern The Aphis gossypii Glover (AGG)
SHI-FEI DING ZHONG-ZHI SHI XI-JUN ZHU
College of Information Science and Engineering, Shandong Agricultural University, Taian 271018,China Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Aca School of Science, Qingdao Technological University, Qingdao 266033, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
474-478
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）