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. Hongzhe Dai, Boyi Zhang, Wei Wang. A multiwavelet support vector ...
People also ask
What is support vector regression used for?
Support vector regression (SVR) uses support vector machines to forecast continuous results, effectively managing linear and non-linear correlations.
Is support vector regression better than Linear Regression?
Results and Discussion: The analysis of the results shows that the Linear Regression has a high accuracy of (88.56%) in comparison with the Support Vector Machine (81.30%).
What is the difference between SVM classification and SVM regression?
SVM for classification involves assigning one slack variable to each training data point, whereas in SVM for regression, there are two slack variables for each training data point. What is the difference between support Vector regression, using a linear kernel and least squares linear regression?
Can support vector machines SVMs be used in regression problems?
Support vector machines (SVMs) are a set of supervised learning methods used for classification, regression and outliers detection. The advantages of support vector machines are: Effective in high dimensional spaces. Still effective in cases where number of dimensions is greater than the number of samples.
A multiwavelet support vector regression method for efficient reliability assessment · Cited by 52 publications · References 32 publications.
Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structures · List of references · Publications that cite ...
Support vector regression (SVR) based metamodel is a powerful mean to alleviate computational challenge of Monte Carlo simulation (MCS) based reliability ...
"A multiwavelet support vector regression method for efficient reliability assessment," Reliability Engineering and System Safety, Elsevier, vol. 136(C) ...
The main purpose of this study are to analyze the performances of applying wavelet transform-support vector regression model into bus travel time prediction and ...
Mar 6, 2017 · To expand the application of WNN to higher dimensions, this article develops a new wavelet support vector machine (SVM)-based neural network ...
Dai, A multiwavelet support vector regression method for efficient reliability assessment, Reliab. Eng. Syst. Saf., № 136, с. 132 https://doi.org/10.1016/j ...