Comparative Analysis of Multiple Linear Regression and Artificial Neural Network for Predicting Friction and Wear of Automotive Brake Pads Produced from Palm Kernel Shell

Comparative Analysis of Multiple Linear Regression and Artificial Neural Network for Predicting Friction and Wear of Automotive Brake Pads Produced from Palm Kernel Shell

In this study, comparative analysis of multiple linear regression (MLR) and artificial neural network (ANN) for prediction of wear rate and coefficient of friction brake pad produced from palm kernel shell was carried out. The inputs parameters used for the two models generated using inertia dynamom...

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Bibliographic Details
Main Authors: K.K. Ikpambese, E.A. Lawrence
Format: Article
Language:English
Published: University of Kragujevac 2018-12-01
Series:Tribology in Industry
Subjects:
Multiple linear regression
Artificial neural network
Wear rate
Coefficient of friction
Inertia dynamometer
Online Access:http://www.tribology.rs/journals/2018/2018-4/2018-4-05.html

Internet

http://www.tribology.rs/journals/2018/2018-4/2018-4-05.html

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