Universiti Teknologi Malaysia Institutional Repository

ANN in modeling the machining process

Mohd. Zain, Azlan and Haron, Habibollah and Sharif, Safian (2008) ANN in modeling the machining process. In: Soft computing in industrial applications. Penerbit UTM , Johor, 81-96 . ISBN 978-983-52-0632-0

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The former, which is defined as modeling of machining processes, is essential to provide the basic mathematical models for formulation of the certain process objective functions. With conventional approaches such as Statistical Regression technique, explicit models are developed that required complex physical understanding of the modeling process. With non conventional approaches or Artificial Intelligence techniques such as Artificial Neural Network, Fuzzy Logic and Genetic Algorithm based modeling, implicit model are created within the weight matrices of the net, rules and genes that is easier to be implemented. With the focus on surface roughness performance measure, this paper outlines and discusses the concept, application, abilities and limitations of Artificial Neural Network in the machining process modeling. Subsequently the future trend of Artificial Neural Network in modeling machining process is reported.

Item Type:Book Section
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:16804
Deposited By: Liza Porijo
Deposited On:28 Oct 2011 04:59
Last Modified:15 Aug 2017 01:49

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