Title :
Adaptive neuro-fuzzy inference system with evolutionary algorithm for designing process parameters of color filter
Author :
Ping-Yi Chou;Jinn-Tsong Tsai;Wen-Hsien Ho;Jyh-Horng Chou
Author_Institution :
Institute of Engineering Science and Technology, National Kaohsiung First University of Science and Technology, 1 University Road, Yenchao, Kaohsiung 824, Taiwan
Abstract :
The orthogonal array, signal-to-noise ratio, adaptive network-based fuzzy inference system (ANFIS), and hybrid Taguchi-genetic evolutionary algorithm (HTGEA) is combined to optimize the process parameters for chemical mechanical polishing process of color filter (CMPPCF). The HTGEA in the ANFIS not only find the most suitable membership function types but also find the optimal premise and consequent parameters.
Keywords :
"Image color analysis","Filtering algorithms","Roads","Chemicals","Manufacturing processes","Data models","Training data"
Conference_Titel :
Automation Science and Engineering (CASE), 2015 IEEE International Conference on
Electronic_ISBN :
2161-8089
DOI :
10.1109/CoASE.2015.7294321
