Titlebook: International Joint Conference SOCO’13-CISIS’13-ICEUTE’13; Salamanca, Spain, Se álvaro Herrero,Bruno Baruque,Emilio Corchado Conference pro

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Parsimonious Support Vector Machines Modelling for Set Points in Industrial Processes Based on Geneplied to develop support vector machines for predicting three temperature set points in the annealing furnace of a continuous hot-dip galvanising line. The results demonstrate the rerank makes more efficiently and easily the process of obtaining parsimonious models without reducing performance.

intention

Ventilator

Towards Improving the Applicability of Non-parametric Multiple Comparisons to Select the Best Soft the probability of achieving the best predictions. The main goal of our methodology is therefore to automatize the selection process when many choices are availables. The models based on soft computing used to validate our proposal are neural networks and support vector machines and also other alte

refraction

神秘

IRK