Orthogonal based ANN and multiGA for optimization on WEDM of Ti–48Al intermetallic alloys
As surveyed, many efforts have been made to model the performances of electrical discharge machining (EDM) using artificial neural network (ANN). However, the selections of the network parameters were mostly prepared in a random manner, resulting to unnecessary trials. Thus, orthogonal array (Taguch...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Springer Netherlands
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/87662/ http://dx.doi.org/10.1007/s10462-017-9602-2 |
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| Institution: | Universiti Teknologi Malaysia |