论文信息 - Classification of Surface Roughness and Distance Measurement Using Artificial Neural Network

Classification of Surface Roughness and Distance Measurement Using Artificial Neural Network

Abstract An automated AT89C55WD microcontroller based surface roughness and distance measurement system is developed. An IR diode and detector are used for the measurement. In this paper, the experimental arrangement for the measurement of distance and classification of surface roughness is explained. An artificial neural network (ANN), trained with a back propagation algorithm is employed for the data processing to classify the roughness of the surface and for the distance measurement. A three layer ANN is used to learn the type of surface and corresponding output using a back propagation algorithm. After training, the neural network is used to classify the roughness of the surface and to measure distance.

P. Neelamegam | A. Rajendran | A. Rajendran | Periasamy Neelamegam

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