Prediccion de la calidad superficial antes del proceso de maquinado, en fresado a alta velocidad, utilizando maquinas de soporte vectorial
暂无分享,去创建一个
[1] Bojan Cestnik,et al. Estimating Probabilities: A Crucial Task in Machine Learning , 1990, ECAI.
[2] Siwaporn Kunnapapdeelert,et al. Optimal cutting condition determination for desired surface roughness in end milling , 2009 .
[3] Gui Xia Zheng,et al. Prediction of Surface Roughness Profiles for Milling Process with Fractal Parameters Based on LS-SVM , 2010 .
[4] Abhisek Ukil,et al. Support Vector Machine , 2007 .
[5] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[6] Sami Ekici,et al. Support vector machines models for surface roughness prediction in CNC turning of AISI 304 austenitic stainless steel , 2012, J. Intell. Manuf..
[7] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[8] Rui Zhang,et al. Comparing the use of bayesian networks and neural networks in response time modeling for service-oriented systems , 2007, SOCP '07.
[9] Alexander J. Smola,et al. Learning with kernels , 1998 .
[10] Douglas C. Montgomery,et al. Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .
[11] Robert Biernacki,et al. Modeling of manufacturing processes by learning systems: The naïve Bayesian classifier versus artificial neural networks , 2005 .
[12] Zhuoda Jiang. Intelligent prediction of surface roughness of milling aluminium alloy based on least square support vector machine , 2010, 2010 Chinese Control and Decision Conference.
[13] O. Mangasarian,et al. Robust linear programming discrimination of two linearly inseparable sets , 1992 .
[14] John A. Marchant,et al. Comparison of a Bayesian classifier with a multilayer feed-forward neural network using the example of plant/weed/soil discrimination , 2003 .
[15] Oğuz Çolak,et al. Milling surface roughness prediction using evolutionary programming methods , 2007 .