Improving Harris hawks optimization algorithm for hyperparameters estimation and feature selection in v‐support vector regression based on opposition‐based learning
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Chemometrics"
DOI: 10.1002/cem.3311
Abstract: Many real problems have been solved by support vector regression, especially v‐support vector regression (v‐SVR), but there are hyperparameters that usually needed to tune. In addition, v‐SVR cannot perform feature selection. Nature‐inspired algorithms have been… read more here.
Keywords: vector regression; feature; feature selection; support vector ... See more keywords
Intelligent optimization of bioleaching process for waste lithium‐ion batteries: An application of support vector regression approach
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DOI: 10.1002/er.6238
Abstract: Recovery of toxic and vital metal from spent Li‐ion batteries is a vital problem in the recycling industry. The recycling processes such as bioleaching are much simpler and environment friendly but lack the required efficiency… read more here.
Keywords: bioleaching process; recovery; ion batteries; vector regression ... See more keywords
Asymmetric ν-twin support vector regression
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-2966-z
Abstract: Twin support vector regression (TSVR) aims at finding ????-insensitive up- and down-bound functions for the training points by solving a pair of smaller-sized quadratic programming problems (QPPs) rather than a single large one as in… read more here.
Keywords: twin support; vector regression; regression; support vector ... See more keywords
Evaluation of effective stiffness of RC column sections by support vector regression approach
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DOI: 10.1007/s00521-019-04190-0
Abstract: Effective stiffness of reinforced concrete (RC) members has a very important role in the performance evaluation of RC frame buildings through nonlinear dynamic analyses. The beam effective stiffness can be readily computed using mechanics, but… read more here.
Keywords: stiffness; vector regression; support vector; evaluation ... See more keywords
A support vector regression approach to detection in large-MIMO systems
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DOI: 10.1007/s11235-016-0202-2
Abstract: We propose a support vector regression approach for symbol detection in large-MIMO systems employing spatial multiplexing. We explore the applicability of machine learning algorithms, in particular support vector machines, to address one of the recent… read more here.
Keywords: detection large; detection; vector regression; support vector ... See more keywords
Wavelet kernel least square twin support vector regression for wind speed prediction
Sign Up to like & getrecommendations! Published in 2022 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-022-18655-8
Abstract: Wind energy is a powerful yet freely available renewable energy. It is crucial to predict the wind speed (WS) accurately to make a precise prediction of wind power at wind power generating stations. Generally, the… read more here.
Keywords: prediction; support vector; wavelet kernel; vector regression ... See more keywords
A Modified Support Vector Regression Approach for Failure Analysis in Beam-Like Structures
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DOI: 10.1007/s11668-018-0494-5
Abstract: Natural frequency and mode shape differences play a vital role to distinguish between healthy and unhealthy structures. As per the proposed method, the unhealthy structure leads to crack identification in terms of the location and… read more here.
Keywords: feature space; vector regression; regression; support vector ... See more keywords
Multi-Step Model Predictive Control Based on Online Support Vector Regression Optimized by Multi-Agent Particle Swarm Optimization Algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Shanghai Jiaotong University (Science)"
DOI: 10.1007/s12204-018-1990-1
Abstract: As optimization of parameters affects prediction accuracy and generalization ability of support vector regression (SVR) greatly and the predictive model often mismatches nonlinear system model predictive control, a multi-step model predictive control based on online… read more here.
Keywords: model predictive; vector regression; support vector; optimization ... See more keywords
Unsupervised extreme learning machine and support vector regression hybrid model for predicting energy commodity futures index
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DOI: 10.1007/s12293-016-0191-4
Abstract: Support vector regression (SVR) has been successfully applied in various domains, including predicting the prices of different financial instruments like stocks, futures, options, and indices. Because of the wide variation in financial time-series data, instead… read more here.
Keywords: vector regression; support vector; model; svr ... See more keywords
Comparison of support vector regression- and neural network-based soft sensors for cement plant exhaust gas composition
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Environmental Science and Technology"
DOI: 10.1007/s13762-019-02564-4
Abstract: Application of accurate gas sampler and analyzers is the most reliable method for measuring cement kiln stack gas composition; however, both are very prone to frequent maintenance due to the presence of very fine dust… read more here.
Keywords: vector regression; support vector; based soft; gas ... See more keywords
General noise support vector regression with non-constant uncertainty intervals for solar radiation prediction
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Modern Power Systems and Clean Energy"
DOI: 10.1007/s40565-018-0397-1
Abstract: General noise cost functions have been recently proposed for support vector regression (SVR). When applied to tasks whose underlying noise distribution is similar to the one assumed for the cost function, these models should perform… read more here.
Keywords: vector regression; support vector; general noise; non constant ... See more keywords