(BQ) Electrical discharge machining (EDM) is inherently a stochastic process. Predicting the output of such a process with reasonable accuracy is rather difficult. | Applied Mathematical Modelling 38 (2014) 2800–2818 Contents lists available at ScienceDirect Applied Mathematical Modelling journal homepage: Modeling of EDM responses by support vector machine regression with parameters selected by particle swarm optimization High speed steel of Ushasta Aich ⇑, Simul Banerjee Mechanical Engineering Department, Jadavpur University, Kolkata 700032, India a r t i c l e i n f o Article history: Received 25 October 2012 Received in revised form 3 July 2013 Accepted 11 October 2013 Available online 23 November 2013 Keywords: Electrical discharge machining (EDM) Support vector machine (SVM) Particle swarm optimization (PSO) specimen , W-6%, Mo-5%, Cr-4%, V-2% a b s t r a c t Electrical discharge machining (EDM) is inherently a stochastic process. Predicting the output of such a process with reasonable accuracy is rather difficult. Modern learning based methodologies, being capable of reading the underlying unseen effect of control factors on responses, appear to be effective in this regard. In the present work, support vector machine (SVM), one of the supervised learning methods, is applied for developing the model of EDM process. Gaussian radial basis function and e-insensitive loss function are used as kernel function and loss function respectively. Separate models of material removal rate (MRR) and average surface roughness parameter (Ra) are developed by minimizing the mean absolute percentage error (MAPE) of training data obtained for different set of SVM parameter combinations. Particle swarm optimization (PSO) is employed for the purpose of optimizing SVM parameter combinations. Models thus developed are then tested with disjoint testing data sets. Optimum parameter settings for maximum MRR and minimum Ra are further investigated applying PSO on the developed models. Crown Copyright Ó 2013 Published by Elsevier Inc. All rights reserved. 1. Introduction Electrical discharge machining (EDM)
