Abstract
Increased mechanization has generated noise and vibration problems in opencast mines. Noise isgenerated by every activity or machinery present in the mines. Artificial Neural Network (ANN)and Adaptive Network-based Fuzzy Inference System (ANFIS) was applied to predictmachinerynoise in a mechanized opencast coal mine. This paper dealt with comparison of theprediction capabilities of ANN and ANFIS based soft computing models vis-Ã -vis existingstatistical model (ENM) in order to find the actual noise status in an opencast coal mine. From thepresent study, it could be concluded that ANFIS gave better prediction results than the ANN (MLPand BP) methods. This paper also includes the preparation of a noise map in the opencast mine usingtwo methods (Kriging and IDW) and ArcGIS.
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