In order to mitigate these difficulties, this paper presents a new multiwavelet linear programming support vector regression method for reliability analysis.
As a new sparse kernel modeling technique, support vector regression has become a promising method in structural reliability analysis.
An Efficient Reliability Method with Multiple Shape ... A machine learning methodology for reliability evaluation of complex chemical production systems.
Missing: multiwavelet | Show results with:multiwavelet
A new wavelet support vector machine (SVM)‐based neural network metamodel for reliability analysis that takes advantage of the excellent capacities of SVM ...
A new multiwavelet neural network-based response surface method is proposed for efficient structural reliability assessment. Although multiwavelet network ...
Support vector machine (SVM) is a powerful machine learning technique relying on the structural risk minimization principle. The applications of SVM in ...
Apr 20, 2023 · An efficient reliability method combining adaptive Support Vector ... A multiwavelet support vector regression method for. 752 efficient ...
Mar 6, 2017 · (2014), An adaptive wavelet frame neural network method for efficient reliability analysis, Computer-Aided Civil and Infrastructure Engineering, ...
Apr 1, 2017 · 2014, An adaptive wavelet frame neural network method for efficient reliability analysis, Computer-Aided Civil and Infrastructure ...
... A multiwavelet support vector regression method for efficient reliability assessment. ... support vector regression (wavelet GA-SVR) for monthly flow forecasting.