Surface quality prediction and processing parameter determination in electrochemical mechanical polishing of bearing rollers

This publication has 24 references indexed in Scilit:

• Prediction of flashover voltage of insulators using least squares support vector machines
  Expert Systems with Applications, 2009
• Advanced CAD integrated approach for 3D electrochemical machining simulations
  Journal of Materials Processing Technology, 2008
• Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification scheme
  Computer Methods and Programs in Biomedicine, 2008
• Exploration of artificial neural network [ANN] to predict the electrochemical characteristics of lithium-ion cells
  Electrochimica Acta, 2007
• Modeling and control of PEMFC based on least squares support vector machines
  Energy Conversion and Management, 2006
• Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference
  Engineering Applications of Artificial Intelligence, 2006
• FE analysis of a novel roller form: a deep end-cavity roller for roller-type bearings
  Journal of Materials Processing Technology, 2004
• The computer aided simulation of electrochemical process with universal spherical electrodes when machining sculptured surfaces
  Journal of Materials Processing Technology, 2000
• Correction of the roller generators in spherical roller bearings
  Wear, 1996
• Prediction of work piece geometry in electrochemical cavity sinking
  Electrochimica Acta, 1981