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.
A multiwavelet support vector regression method for efficient reliability assessment · Cited by 52 publications · References 32 publications.
A multiwavelet support vector regression method for efficient reliability assessment. Hongzhe Dai, Boyi Zhang, Wei Wang. A multiwavelet support vector ...
Sep 9, 2014 · A new multiwavelet neural network-based response surface method is proposed for efficient structural reliability assessment.
A new wavelet support vector machine (SVM)‐based neural network metamodel for reliability analysis that takes advantage of the excellent capacities of SVM ...
The new method uses the single-scaling multidimensional wavelet frame as the activation function in the network to deal with the multidimensional problems in ...
An adaptive support vector regression method for structural system ...
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A new adaptive support vector regression method is proposed for structural system reliability assessment. Compared with traditional support vector regression ...
A new unbiased metamodel method for efficient reliability analysis. ... A support vector density-based importance sampling for reliability assessment.
Apr 20, 2023 · Support vector machine (SVM) is a powerful machine learning technique relying on the. 6 structural risk minimization principle.