Journal of Computer and Communications

Journal of Computer and Communications

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org
"Neural Network Modeling and Prediction of Surface Roughness in Machining Aluminum Alloys"
written by N. Fang, N. Fang, P. Srinivasa Pai, N. Edwards,
published by Journal of Computer and Communications, Vol.4 No.5, 2016
has been cited by the following article(s):
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[1] Data-driven framework for the prediction of cutting force in turning
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[2] Application of Fuzzy Logic in the Analysis of Surface Roughness of Thin-Walled Aluminum Parts
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[3] A Review of Artificial Intelligence Technologies to Achieve Machining Objectives
Cognitive Social Mining Applications in Data Analytics and Forensics, 2019
[4] A Comparative Study between Regression and Neural Networks for Modeling Al6082-T6 Alloy Drilling
2019
[5] Research on Establishing Prediction Model for Aerospace Aluminum Alloy Milling Force with the Help of RBF Neural Network
2018
[6] Optimization of Cutting Parameters in Cs in CNC Turning of AISI 304 & AISI 316 Stainless Steel
International journal of Trend in Scientific Research and Development, 2018
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[8] Dynamic Bayesian Network-based Approach by Integrating Sensor Deployment for Machining Process Monitoring
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[9] Modeling for Prediction of Surface Roughness and Experimental Research in Ultra-Precision Flycutting Machining
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[10] Study on Parameter Optimization of Cutting Surface Roughness of Aluminum Alloy
2018
[11] Monitoring of biosurfactant production by Bacillus subtilis using beet peel as culture medium via the development of a neural soft-sensor in an electronic …
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[12] Küreselleştirme isil İşlemi uygulanmiş AISI 1050 Çeliğinin yüzey pürüzlülük değerlerinin yapay sinir ağlari ile modellenmesi
2017
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