Title :
Information Classified Recognition Method Based on Fuzzy Control
Author :
Ding, Shi-fei ; Shi, Zhong-zhi ; Zhu, Xi-jun
Author_Institution :
Coll. of Inf. Sci. & Eng., Shandong Agric. Univ., Taian
Abstract :
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 (degC) 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
Keywords :
agriculture; cotton; data analysis; forecasting theory; fuzzy control; fuzzy systems; pattern classification; Aphis gossypii Glover; cotton; fuzzy control; fuzzy information classified recognition pattern; Consumer products; Cybernetics; Educational institutions; Frequency; Fuzzy control; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Machine learning; Pattern recognition; Predictive models; Vehicle dynamics; Classified recognition pattern; Fuzzy control; Pattern recognition; The Aphis gossypii Glover (AGG);
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259117
