Application of multiple regression and adaptive neuro fuzzy inference system for the prediction of surface roughness

This publication has 17 references indexed in Scilit:

• Fuzzy adaptive networks in machining process modeling: surface roughness prediction for turning operations
  International Journal of Machine Tools and Manufacture, 2004
• Machining Process Monitoring and Control: The State-of-the-Art
  Journal of Manufacturing Science and Engineering, 2004
• Predicting surface roughness in machining: a review
  International Journal of Machine Tools and Manufacture, 2003
• Accurate modeling and prediction of surface roughness by computer vision in turning operations using an adaptive neuro-fuzzy inference system
  International Journal of Machine Tools and Manufacture, 2002
• Roughness parameters
  Journal of Materials Processing Technology, 2002
• Surface roughness inspection by computer vision in turning operations
  International Journal of Machine Tools and Manufacture, 2001
• A Fuzzy-Net-Based Multilevel In-Process Surface Roughness Recognition System in Milling Operations
  The International Journal of Advanced Manufacturing Technology, 2001
• In-Process Surface Roughness Recognition (ISRR) System in End-Milling Operations
  The International Journal of Advanced Manufacturing Technology, 1999
• In-process control of surface roughness due to tool wear using a new ultrasonic system
  International Journal of Machine Tools and Manufacture, 1996
• Application of a neural network to the estimation of surface roughness from ae signals generated by friction process
  International Journal of Machine Tools and Manufacture, 1995