Potential ANN prediction model for multiperformances WEDM on Inconel 718
Author:
Funder
Ministry of Higher Education, Malaysia
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/article/10.1007/s00521-016-2796-4/fulltext.html
Reference38 articles.
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3. Venkatesan D, Kannan K, Saravanan R (2008) A genetic algorithm-based artificial neural network model for the optimization of machining processes. Neural Comput Appl 18(2):135–140. doi: 10.1007/s00521-007-0166-y
4. Kara F, Aslantas K, Çiçek A (2014) ANN and multiple regression method-based modelling of cutting forces in orthogonal machining of AISI 316L stainless steel. Neural Comput Appl 26(1):237–250. doi: 10.1007/s00521-014-1721-y
5. Karabulut Ş, Karakoç H (2015) Investigation of surface roughness in the milling of Al7075 and open-cell SiC foam composite and optimization of machining parameters. Neural Comput Appl. doi: 10.1007/s00521-015-2058-x
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