2008
DOI: 10.1007/s10845-008-0222-1
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Zigzag machining surface roughness modelling using evolutionary approach

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Cited by 35 publications
(9 citation statements)
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“…Genetic programming was used to analyze and predict the surface roughness developed in an end‐milling operation . Genetic programming was employed for surface roughness prediction in zigzag machining and was found more efficient than ANN and ANFIS techniques …”
Section: Discussionmentioning
confidence: 99%
“…Genetic programming was used to analyze and predict the surface roughness developed in an end‐milling operation . Genetic programming was employed for surface roughness prediction in zigzag machining and was found more efficient than ANN and ANFIS techniques …”
Section: Discussionmentioning
confidence: 99%
“…It is developed by Hecht Nielsen [22,23]. Research has been carried out to apply CPNs for statistical analysis, function approximation, online measurements, monitoring, and diagnosis [24][25][26][27][28][29][30]. The CPN architecture, illustrated in Fig.…”
Section: Counterpropagation Neural Networkmentioning
confidence: 99%
“…Last year many models of cutting process were worked out, but most of them are made for milling, drilling or grinding process [Chang & Lu 2006, Göloğlu & Arslan 2009, Öktem 2009, Prakasvudhisarn 2009, Routara 2009, Suresh & Venkateswara 2005. The analysis of turning process is close to the state from the turn of a century.…”
Section: Conclusion For Cutting Process Modellingmentioning
confidence: 99%