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An adaptive neuro-fuzzy inference system (ANFIS) is implemented to evaluate traffic noise under heterogeneous traffic conditions of Nagpur city, India. The major factors which affect the traffic noise are traffic flow, vehicle speed and honking. These factors are considered as input parameters to ANFIS model for traffic noise estimation. The proposed ANFIS(More)
The quality of an intelligent control system is the ability to control the process with a certain degree of autonomy. These requirements, as an autonomous process controller are ever increasing. Considering the fact that existing algorithm based controllers such as the adaptive PID have their own limitations/are inadequate, the controllers are designed to(More)
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