Paper Info
Title
Refrigerator temperature control with soft computing
Abstract
The soft computing methods are used for the control of refrigerator temperature. An axis having blades is introduced in the refrigerator compartment to control the direction of cold air, and the directions of the blades are controlled by a neural networks controller so that more cold air is sent where the temperature is high in the refrigerator compartment. The neural networks controller is taught by a TSK fuzzy supervisor. The TSK fuzzy supervisor has the form of TSK fuzzy model. For the identification of fuzzy sets parameters in TSK fuzzy models, a new method made by combining the genetic algorithm with the complex method is suggested. With the new method, more optimal parameters of fuzzy sets can be searched more speedily.
Year
Venue
Keywords
1998
Journal of Intelligent and Fuzzy Systems
fuzzy set,cold air,refrigerator compartment,soft computing,refrigerator temperature,TSK fuzzy model,TSK fuzzy supervisor,refrigerator temperature control,neural networks controller,new method,complex method,fuzzy sets parameter
Field
DocType
Volume
Supervisor,Control theory,Control theory,Temperature control,Fuzzy logic,Fuzzy set,Soft computing,Artificial neural network,Mathematics,Genetic algorithm
Journal
6
Issue
ISSN
Citations 
1
1064-1246
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Geuntaek Kang111.01
Wonchang Lee271.60
Yun-Seog Kang300.34
Seong-Wook Jeong472.19
Jae-In Kim582.42
Hong-Won Lee600.68