A Comparative Study between Regression and Neural Networks for Modeling Al6082-T6 Alloy Drilling

A Comparative Study between Regression and Neural Networks for Modeling Al6082-T6 Alloy Drilling

Apart from experimental research, the development of accurate and efficient models is considerably important in the field of manufacturing processes. Initially, regression models were significantly popular for this purpose, but later, the soft computing models were proven as a viable alternative to...

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Bibliographic Details
Main Authors: Nikolaos E. Karkalos, Nikolaos Efkolidis, Panagiotis Kyratsis, Angelos P. Markopoulos
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Machines
Subjects:
drilling
Al6082-T6
multiple regression
multi-layer perceptron
radial basis function neural network
adaptive neuro-fuzzy inference system
thrust force
cutting torque
Online Access:https://www.mdpi.com/2075-1702/7/1/13

Internet

https://www.mdpi.com/2075-1702/7/1/13

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