Traffic signal control based on adaptive neural-fuzzy inference system applied to intersection

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Traffic signal control based on adaptive neural-fuzzy inference system applied to intersection

Adaptive Neural-Fuzzy Inference System (ANFIS) that integrates the best features of fuzzy systems and neural networks has been widely applied in many areas. It can be applied to synthesize controllers, which are able to tune the fuzzy control system automatically, and models that learn from past dat...

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Bibliographic Details
Main Authors:	Che Soh, Azura, Abdul Rahman, Ribhan Zafira, Lai, Ghuan Rhung, Md. Sarkan, Haslina
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2011
Online Access:	http://psasir.upm.edu.my/id/eprint/47696/ http://psasir.upm.edu.my/id/eprint/47696/1/Traffic%20signal%20control%20based%20on%20adaptive%20neural-fuzzy%20inference%20system%20applied%20to%20intersection.pdf

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