A neural-network-based methodology for the prediction of surface roughness in a turning process
- 2 June 2004
- journal article
- research article
- Published by Springer Science and Business Media LLC in The International Journal of Advanced Manufacturing Technology
- Vol. 25 (1-2), 118-129
- https://doi.org/10.1007/s00170-003-1810-z
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Surface roughness predictive modeling: neural networks versus regressionIIE Transactions, 2003
- Prediction of surface roughness and dimensional deviation by measuring cutting forces and vibrations in turning processJournal of the American Academy of Dermatology, 2003
- Development of Empirical Models for Surface Roughness Prediction in Finish TurningThe International Journal of Advanced Manufacturing Technology, 2002
- Modeling the surface roughness and cutting force for turningJournal of the American Academy of Dermatology, 2001
- On-Line Optimization of the Turning Process Using an Inverse Process NeurocontrollerJournal of Manufacturing Science and Engineering, 1998
- Predicting total machining performance in finish turning using integrated fuzzy-set models of the machinability parametersInternational Journal of Production Research, 1994
- Regression analysis with interval model by neural networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- A Comparison of Statistical and AI Approaches to the Selection of Process Parameters in Intelligent MachiningJournal of Engineering for Industry, 1990
- Surface finish prediction models for fine turningInternational Journal of Production Research, 1988
- Mathematical models to predict surface finish in fine turning of steel. Part I.International Journal of Production Research, 1981