Author:
Sharma Vishal S.,Dhiman Suresh,Sehgal Rakesh,Sharma S. K.
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference15 articles.
1. Alajmi, M. S., & Alfares, F. (2007). Prediction of cutting forces in turning process using De-Neural Networks. Artificial Intelligence and Applications, AIA 2007, 2/12/2007–2/14/2007, Innsbruck, Austria.
2. Chou, Y.K., Evans, C.J., Barash, M.M.: Experimental investigation on CBN turning of hardened AISI 52100 steel. Journal of Materials Processing Technology 124, 274–283 (2002)
3. Dimla, D.E. Sr.: Application of perceptron neural networks to tool state classification in a metal turning operation. Engineering Applications of Artificial Intelligence 12, 471–477 (1999)
4. Feng, C.X., Wang, X.: Development of empirical models for surface roughness prediction in finish turning. International Journal of Manufacturing Technology 20, 348–356 (2002)
5. Feng, C.-X.J., Yu, Z.-G.(Samuel), Kusiak, A.: Selection and validation of predictive regression and neural network model based on designed experiments. IIE Transactions 38, 13–23 (2006)
Cited by
147 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献