NDLI: Information Classified Recognition Method Based on Fuzzy Control

Content Provider	IEEE Xplore Digital Library
Author	Shi-Fei Ding Zhong-Zhi Shi Xi-Jun Zhu
Copyright Year	2006
Description	Author affiliation: Coll. of Inf. Sci. & Eng., Shandong Agric. Univ., Taian (Shi-Fei Ding)
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
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	474
Ending Page	478
File Size	204124
Page Count	5
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.259117
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Pattern recognition Vehicle dynamics Fuzzy sets Fuzzy systems Fuzzy set theory Predictive models Frequency Consumer products Educational institutions The Aphis gossypii Glover (AGG) Classified recognition pattern
Content Type	Text
Resource Type	Article

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