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https://www.sciencedirect.com/science/article/pii/S0262885608001972
A support vector machine (SVM) with the auto-correlation of a compactly supported wavelet as a kernel is proposed in this paper. The authors prove that …Cited by: 17
https://www.researchgate.net/publication/222830906_Auto-correlation_wavelet_support_vector_machine
A support vector machine (SVM) with the auto-correlation of a compactly supported wavelet as a kernel is proposed in this paper. The authors prove that …
https://ieeexplore.ieee.org/document/1443136/
Abstract: A support vector machine (SVM) with the autocorrelation of compactly supported wavelet as kernel is proposed in this paper. It is proved that this kernel is an admissible support vector kernel. The main advantage of the auto-correlation of a compactly supported wavelet is that it satisfies the translation invariant property, which is very important for signal processing.Cited by: 13
http://www2.kuma.u-tokai.ac.jp/~shi/el08-035.pdf
least squares support vector machine (MLS-SVM), a novel notion of multiclass least squares support vector machine with universal auto-correlation wavelet kernels (MLS-AWSVM) is proposed. The translation invariant property of the kernel function enhances the generalization ability of the LS-SVM method and the spiral multiclass classification
http://www.ajer.org/papers/v6(10)/D06102835.pdf
Cardiac Abnormalities Detection using Wavelet Transform and Support Vector Machine 1 Ojo, J. A., 2Amoran, A. E. ... autocorrelation and modified Analysis of Amplitude, Slopes and Width (MAASW) for QRS complex detection and Support Vector Machine (SVM) with radial based function were used for feature and classification ...
https://journals.ametsoc.org/doi/full/10.1175/WAF-D-11-00004.1
Apr 01, 2012 · Wavelet Support Vector Machines for Forecasting Precipitation in Tropical Cyclones: Comparisons with GSVM, Regression, and MM5 Next Article. Previous Article. Wavelet Support Vector Machines for Forecasting Precipitation in Tropical Cyclones: Comparisons with GSVM, Regression, and MM5 ... 2008: Wavelet support vector machine for …Cited by: 24
https://www.sciencedirect.com/science/article/pii/S0925231212008909
Jun 13, 2013 · The Complex Gaussian wavelet is selected based on maximum Energy to Shannon Entropy ratio. The results show that the support vector machine identifies the fault categories of rolling element bearing more accurately and has a better diagnosis performance.Cited by: 66
https://journals.sagepub.com/doi/10.1177/1077546310395970
Mar 07, 2011 · The base wavelet that maximizes the energy to Shannon entropy ratio is selected to extract statistical features from wavelet coefficients. Finally, a comparative study is carried out with the calculated statistical features as input to two supervised soft computing techniques like Artificial Neural Network and Support Vector Machine (SVM) for ...Cited by: 57
https://www.onlinelibrary.wiley.com/doi/full/10.1111/mice.12257
To expand the application of WNN to higher dimensions, this article develops a new wavelet support vector machine (SVM)‐based neural network metamodel for reliability analysis. The method first develops an autocorrelation wavelet kernel SVM and then uses a set of wavelet SVMs with different resolution as the activation function of WNN.Cited by: 79
https://pdfs.semanticscholar.org/dbe7/bdaf11021b03eec084b4d732dcc4eac9cf5f.pdf
Prediction of Temperature Time Series Based on Wavelet Transform and Support Vector Machine Xiaohong Liu Qinggong College, Hebei United University, Tangshan, China ... a model combining the wavelet transform and support vector machine is set up. First, wavelet transform is applied to decompose the series into sub series with different time ...
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