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Title of Journal: J Cent South Univ

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Abbravation: Journal of Central South University

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Central South University

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DOI

10.1002/clc.4960200219

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2227-5223

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Error assessment of laser cutting predictions by s

Authors: Mustafa Zaidi Imran Amin Ahmad Hussain Nukman Yusoff
Publish Date: 2014/10/17
Volume: 21, Issue: 10, Pages: 3736-3745
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Abstract

Experimentation data of perspex glass sheet cutting using CO2 laser with missing values were modelled with semisupervised artificial neural networks Factorial design of experiment was selected for the verification of orthogonal array based model prediction It shows improvement in modelling of edge quality and kerf width by applying semisupervised learning algorithm based on novel error assessment on simulations The results are expected to depict better prediction on average by utilizing the systematic randomized techniques to initialize the neural network weights and increase the number of initialization Missing values handling is difficult with statistical tools and supervised learning techniques on the other hand semisupervised learning generates better results with the smallest datasets even with missing values

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