Reduction of ANFIS-rules based system through K-Map minimization for traffic signal controller
Adaptive-Neural Fuzzy Inference System (ANFIS) traffic signal controller is an intelligent traffic signal controller which has the ability to coordinate the traffic problem by adapting the traffic changes. The number of design rule sets increases the accuracy of the controller. Thus, the complexity...
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Main Authors: | , |
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Format: | Conference or Workshop Item |
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IEEE
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Online Access: | http://psasir.upm.edu.my/id/eprint/39567/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6393033&tag=1 |
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Institution: | Universiti Putra Malaysia |