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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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書誌詳細
主要な著者:	Che Soh, Azura, Abdul Rahman, Ribhan Zafira, Lai, Ghuan Rhung, Md. Sarkan, Haslina
フォーマット:	Conference or Workshop Item
言語:	English
出版事項:	IEEE 2011
オンライン･アクセス:	http://psasir.upm.edu.my/id/eprint/47696/1/Traffic%20signal%20control%20based%20on%20adaptive%20neural-fuzzy%20inference%20system%20applied%20to%20intersection.pdf http://psasir.upm.edu.my/id/eprint/47696/
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