Pitting corrosion behaviour modelling of stainless steel with support vector machines

A comprehensive approach based on SVM to model pitting corrosion behaviour of EN 1.4404 stainless steel

(2013) M. J. Jiménez-Come et al.   MATERIALS AND CORROSION-WERKSTOFFE UND KORROSION

Pitting corrosion behaviour of austenitic stainless steel using artificial intelligence techniques

(2012) M.J. Jiménez-Come et al.   Journal of Applied Logic

Prediction of elastic modulus of normal and high strength concrete by support vector machine

(2010) Kezhen Yan et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of corrosion behaviour of Alloy 22 using neural network as a data mining tool

(2010) Mst Kamrunnahar et al.   CORROSION SCIENCE

EEG signal classification using PCA, ICA, LDA and support vector machines

(2010) Abdulhamit Subasi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Modeling of Chloride Concentration Effect on Reinforcement Corrosion

(2009) Dita Vořechovská et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Hybrid genetic algorithms and support vector regression in forecasting atmospheric corrosion of metallic materials

(2008) S.F. Fang et al.   COMPUTATIONAL MATERIALS SCIENCE

Pitting corrosion behaviour of austenitic stainless steels – combining effects of Mn and Mo additions

(2008) A. Pardo et al.   CORROSION SCIENCE

Corrosion rate prediction of 3C steel under different seawater environment by using support vector regression

(2008) Y.F. Wen et al.   CORROSION SCIENCE

A method to predict pitting corrosion of stainless steels in evaporative conditions

(2008) P. Pohjanne et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

An approach for the aging process optimization of Al–Zn–Mg–Cu series alloys

(2008) S.F. Fang et al.   MATERIALS & DESIGN

A comparison of generalized linear discriminant analysis algorithms

(2007) Cheong Hee Park et al.   PATTERN RECOGNITION