Design of a genetic-fuzzy system to predict surface finish and power requirement in grinding
- 16 December 2004
- journal article
- Published by Elsevier BV in Fuzzy Sets and Systems
- Vol. 148 (3), 487-504
- https://doi.org/10.1016/j.fss.2003.10.001
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- A genetic-fuzzy approach for mobile robot navigation among moving obstaclesInternational Journal of Approximate Reasoning, 1999
- Applications of Artificial Intelligence in GrindingCIRP Annals, 1994
- A neural network approach for grinding processes: Modelling and optimizationInternational Journal of Machine Tools and Manufacture, 1994
- Intelligent Data Base for Grinding OperationsCIRP Annals, 1993
- Integrating design stage of fuzzy systems using genetic algorithmsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Modelling and Simulation of Grinding ProcessesCIRP Annals, 1992
- Neural network modelling and multiobjective optimization of creep feed grinding of superalloysInternational Journal of Production Research, 1992
- Optimum selection of grinding parameters using process modelling and knowledge based system approachJournal of the American Academy of Dermatology, 1991
- Design of a cart-pole balancing fuzzy logic controller using a genetic algorithmPublished by SPIE-Intl Soc Optical Eng ,1991
- Fuzzy setsInformation and Control, 1965