Orthogonal based ANN and multiGA for optimization on WEDM of Ti–48Al intermetallic alloys

• Main Authors: Yusoff, Yusliza, Mohd. Zain, Azlan, Amrin, Astuty, Sharif, Safian, Haron, Habibollah, Sallehuddin, Roselina
• Format: Article
• Published: Springer Netherlands 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/87662/; http://dx.doi.org/10.1007/s10462-017-9602-2
• Institution: Universiti Teknologi Malaysia

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...