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A robust least squares support vector machine for regression and classification with noise
A robust least squares support vector machine for regression and classification with noise
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A robust least squares support vector machine for regression and classification with noise

Yang, Xiaowei ; Tan, Liangjun ; He, Lifang

Neurocomputing (Amsterdam), 2014-09, Vol.140, p.41-52 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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PLS-LS-SVM based modeling of ATR-IR as a robust method in detection and qualification of alprazolam
PLS-LS-SVM based modeling of ATR-IR as a robust method in detection and qualification of alprazolam
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PLS-LS-SVM based modeling of ATR-IR as a robust method in detection and qualification of alprazolam

Parhizkar, Elahehnaz ; Ghazali, Mohammad ; Ahmadi, Fatemeh ; Sakhteman, Amirhossein

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2017-02, Vol.173, p.87-92 [Periódico revisado por pares]

Elsevier B.V

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3
Local Demagnetization Fault Recognition of Permanent Magnet Synchronous Linear Motor Based on S-Transform and PSO-LSSVM
Local Demagnetization Fault Recognition of Permanent Magnet Synchronous Linear Motor Based on S-Transform and PSO-LSSVM
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Local Demagnetization Fault Recognition of Permanent Magnet Synchronous Linear Motor Based on S-Transform and PSO-LSSVM

Song, Xuewei ; Zhao, Jiwen ; Song, Juncai ; Dong, Fei ; Xu, Liang ; Zhao, Jing

IEEE transactions on power electronics, 2020-08, Vol.35 (8), p.7816-7825 [Periódico revisado por pares]

IEEE

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4
Enhancing the Lithium-ion battery life predictability using a hybrid method
Enhancing the Lithium-ion battery life predictability using a hybrid method
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Enhancing the Lithium-ion battery life predictability using a hybrid method

Li, Ling-Ling ; Liu, Zhi-Feng ; Tseng, Ming-Lang ; Chiu, Anthony S.F.

Applied soft computing, 2019-01, Vol.74, p.110-121 [Periódico revisado por pares]

Elsevier B.V

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5
Comparative Study: Common ANN and LS‐SVM Exchange Rate Performance Prediction
Comparative Study: Common ANN and LS‐SVM Exchange Rate Performance Prediction
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Comparative Study: Common ANN and LS‐SVM Exchange Rate Performance Prediction

Sun, Ai ; Zhao, Tianyi ; Chen, Jungfang ; Chang, Juifang

Chinese Journal of Electronics, 2018-05, Vol.27 (3), p.561-564 [Periódico revisado por pares]

Published by the IET on behalf of the CIE

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A combination of near‐infrared hyperspectral imaging with two‐dimensional correlation analysis for monitoring the content of biogenic amines in mutton
A combination of near‐infrared hyperspectral imaging with two‐dimensional correlation analysis for monitoring the content of biogenic amines in mutton
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A combination of near‐infrared hyperspectral imaging with two‐dimensional correlation analysis for monitoring the content of biogenic amines in mutton

Fan, Naiyun ; Liu, Guishan ; Wan, Guoling ; Ban, Jingjing ; Yuan, Ruirui ; Sun, Yourui ; Li, Yue

International journal of food science & technology, 2021-06, Vol.56 (6), p.3066-3075 [Periódico revisado por pares]

Oxford: Wiley Subscription Services, Inc

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7
Adaptive predictive path following control based on least squares support vector machines for underactuated autonomous vessels
Adaptive predictive path following control based on least squares support vector machines for underactuated autonomous vessels
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Adaptive predictive path following control based on least squares support vector machines for underactuated autonomous vessels

Liu, Chenguang ; Zheng, Huarong ; Negenborn, Rudy ; Chu, Xiumin ; Xie, Shuo

Asian journal of control, 2021-01, Vol.23 (1), p.432-448 [Periódico revisado por pares]

Hoboken: Wiley Subscription Services, Inc

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8
Comparison of strategies for multi-step ahead photovoltaic power forecasting models based on hybrid group method of data handling networks and least square support vector machine
Comparison of strategies for multi-step ahead photovoltaic power forecasting models based on hybrid group method of data handling networks and least square support vector machine
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Comparison of strategies for multi-step ahead photovoltaic power forecasting models based on hybrid group method of data handling networks and least square support vector machine

De Giorgi, M.G. ; Malvoni, M. ; Congedo, P.M.

Energy (Oxford), 2016-07, Vol.107, p.360-373 [Periódico revisado por pares]

Elsevier Ltd

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9
A comparison on multi-class classification methods based on least squares twin support vector machine
A comparison on multi-class classification methods based on least squares twin support vector machine
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A comparison on multi-class classification methods based on least squares twin support vector machine

Tomar, Divya ; Agarwal, Sonali

Knowledge-based systems, 2015-06, Vol.81, p.131-147 [Periódico revisado por pares]

Elsevier B.V

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An effective Weighted Multi-class Least Squares Twin Support Vector Machine for Imbalanced data classification
An effective Weighted Multi-class Least Squares Twin Support Vector Machine for Imbalanced data classification
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An effective Weighted Multi-class Least Squares Twin Support Vector Machine for Imbalanced data classification

Tomar, Divya ; Agarwal, Sonali

International journal of computational intelligence systems, 2015-08, Vol.8 (4), p.761-778 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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