Hybrid GR-SVM for prediction of surface roughness in abrasive water jet machining
type: Item
instance of: scholarly article
title: Hybrid GR-SVM for prediction of surface roughness in abrasive water jet machining
zbMATH Open document ID: 1293.93475
author: Ashanira Mat Deris
author: Azlan Mohd Zain
author: Roselina Sallehuddin
published in: Meccanica
publication date: 2014-08-21T00:00:00Z
Mathematics Subject Classification ID: 93C41
Mathematics Subject Classification ID: 93-04
Mathematics Subject Classification ID: 65Y99
zbMATH DE Number: 6333122
zbMATH Keywords: support vector machine
zbMATH Keywords: grey relational analysis
zbMATH Keywords: abrasive water jet
zbMATH Keywords: machining
MaRDI profile type: Publication
full work available at URL: s11012-013-9710-2
OpenAlex ID: W2144877227
cites work: Optimization of the response times of the feed kinematical linkages of the numerical control machine tools in order to minimize the path error
cites work: Intermittency and multiscale dynamics in milling of fiber reinforced composites
cites work: The worst response of mistuned bladed disk system using neural network and genetic algorithm
cites work: Optimal free-defect synthesis of four-bar linkage with joint clearance using PSO algorithm
cites work: Active vibration isolation of machinery and sensitive equipment using \(H_\infty\) control criterion and particle swarm optimization method
cites work: Q3479806
cites work: Q4856771
DOI: 10.1007/S11012-013-9710-2
description: scientific article; zbMATH DE number 6333122