The application of a radial basis function neural network for predicting the surface roughness in a turning process

摘要: This study considers the performance of a radial basis function neural network for predicting surface roughness in turning process. A simple algorithm is proposed finding upper and lower estimates roughness. code developed that automatically fits best architecture given training testing dataset. The validation methodology carried out dry wet mild steel using HSS carbide tools, compared to studied with reported multi-layer perception network. It observed slightly inferior perceptron However, procedure simpler requires less computational time.