Artificial neural network based on genetic learning for machining of polyetheretherketone composite materials
In this paper an artificial neural network (ANN) aiming for the efficient modelling of a set of machining conditions for orthogonal cutting of polyetheretherketone (PEEK) composite materials is presented. The supervised learning of the ANN is based on a genetic algorithm (GA) supported by an elitist...
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| Other Authors: | , |
| Format: | article |
| Language: | eng |
| Published: |
2008
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| Online Access: | https://hdl.handle.net/10216/97510 |
| Country: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/97510 |