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An Optimal-Pruned Extreme Learning Machine based modelling of surface roughness

Backpropagation; Computer control systems; Cutting tools; Forecasting; Knowledge acquisition; Learning systems; Neural networks; Numerical methods; Surface properties; Turning; Back propagation neural networks; Computer numerical control; Cutting operations; Efficient predictions; Extreme learning m...

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Main Authors: Janahiraman T.V., Ahmad N.
Other Authors: 35198314400
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-223722023-05-29T14:00:33Z An Optimal-Pruned Extreme Learning Machine based modelling of surface roughness Janahiraman T.V. Ahmad N. 35198314400 56486827000 Backpropagation; Computer control systems; Cutting tools; Forecasting; Knowledge acquisition; Learning systems; Neural networks; Numerical methods; Surface properties; Turning; Back propagation neural networks; Computer numerical control; Cutting operations; Efficient predictions; Extreme learning machine; Response surface method; Response surface methodology; Surface roughness model; Surface roughness A computer based modelling and prediction method is vital in the field of Computer Numerical Control based cutting operation. The final quality of finished surface is mainly influenced by the interaction between the work piece, cutting tool and machining system. Therefore, many researchers attempted to develop an efficient prediction systems for surface roughness before machining. In this paper, Optimal Pruned Extreme Learning Machine (OPELM) is proposed for modelling and predicting surface roughness with respect to its cutting parameters in turning based machining process. The surface roughness models obtained from other methods such as Response Surface Method, Neural Network and Extreme Learning Machine were compared with the experimental results. Our experimental study consist of 15 workpieces that were used for cutting using turning operation. The correlation between the input parameters such as feed rate, cutting speed and depth of cut with surface roughness was modelled using OPELM. Based on our study, OPELM performed the best in modelling and predicting based on unknown set of input. � 2014 IEEE. Final 2023-05-29T06:00:33Z 2023-05-29T06:00:33Z 2015 Conference Paper 10.1109/ICIMU.2014.7066644 2-s2.0-84937510545 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937510545&doi=10.1109%2fICIMU.2014.7066644&partnerID=40&md5=f2e010bdc9af5b2f9e942aa494b978a6 https://irepository.uniten.edu.my/handle/123456789/22372 7066644 276 280 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Backpropagation; Computer control systems; Cutting tools; Forecasting; Knowledge acquisition; Learning systems; Neural networks; Numerical methods; Surface properties; Turning; Back propagation neural networks; Computer numerical control; Cutting operations; Efficient predictions; Extreme learning machine; Response surface method; Response surface methodology; Surface roughness model; Surface roughness
author2 35198314400
author_facet 35198314400
Janahiraman T.V.
Ahmad N.
format Conference Paper
author Janahiraman T.V.
Ahmad N.
spellingShingle Janahiraman T.V.
Ahmad N.
An Optimal-Pruned Extreme Learning Machine based modelling of surface roughness
author_sort Janahiraman T.V.
title An Optimal-Pruned Extreme Learning Machine based modelling of surface roughness
title_short An Optimal-Pruned Extreme Learning Machine based modelling of surface roughness
title_full An Optimal-Pruned Extreme Learning Machine based modelling of surface roughness
title_fullStr An Optimal-Pruned Extreme Learning Machine based modelling of surface roughness
title_full_unstemmed An Optimal-Pruned Extreme Learning Machine based modelling of surface roughness
title_sort optimal-pruned extreme learning machine based modelling of surface roughness
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806424171674075136
score 13.211869

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