Theoretical study of GDM-SA-SVR algorithm on RAFM steel
Sign Up to like & getrecommendations! Published in 2020 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-020-09803-y
Abstract: With the development of society and the exhaustion of fossil energy, we need to identify new alternative energy sources. Nuclear energy is an ideal choice, but the key to the successful application of nuclear technology… read more here.
Keywords: rafm steel; algorithm; model; svr ... See more keywords
Forecasting Financial Returns Volatility: A GARCH-SVR Model
Sign Up to like & getrecommendations! Published in 2019 at "Computational Economics"
DOI: 10.1007/s10614-019-09896-w
Abstract: Support vector regression (SVR) is a semiparametric estimation method that has been used extensively in the forecasting of financial time series volatility. In this paper, we seek to design a two-stage forecasting volatility method by… read more here.
Keywords: garch svr; svr models; svr; volatility ... See more keywords
Predicting Stock Price Using Two-Stage Machine Learning Techniques
Sign Up to like & getrecommendations! Published in 2020 at "Computational Economics"
DOI: 10.1007/s10614-020-10013-5
Abstract: Stock market forecasting is considered to be a challenging topic among time series forecasting. This study proposes a novel two-stage ensemble machine learning model named SVR-ENANFIS for stock price prediction by combining features of support… read more here.
Keywords: machine learning; two stage; price; svr ... See more keywords
Non-heart transplant surgical approaches with mitral valve operation and surgical ventricular reconstruction for non-ischaemic dilated cardiomyopathy: a Japanese multicenter study
Sign Up to like & getrecommendations! Published in 2020 at "General Thoracic and Cardiovascular Surgery"
DOI: 10.1007/s11748-020-01512-1
Abstract: There is uncertainty over the efficacy of additional surgical ventricular reconstruction (SVR) associated with mitral valve operation for non-ischaemic dilated cardiomyopathy (DCM). This study aims to assess mid-term outcomes of these non-heart transplant surgical approaches… read more here.
Keywords: map; study; mitral valve; surgical ventricular ... See more keywords
Unsupervised extreme learning machine and support vector regression hybrid model for predicting energy commodity futures index
Sign Up to like & getrecommendations! Published in 2017 at "Memetic Computing"
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
Development of a natural gas Methane Number prediction model
Sign Up to like & getrecommendations! Published in 2019 at "Fuel"
DOI: 10.1016/j.fuel.2019.02.116
Abstract: Abstract The methane number (MN) of natural gas is predicted using mathematical modeling and machine learning techniques which can be incorporated into a sensor. Natural gas quality is known to vary seasonally and regionally depending… read more here.
Keywords: gas; natural gas; svr; methane number ... See more keywords
Support vector regression (SVR)-based adsorption model for Ni (II) ions removal
Sign Up to like & getrecommendations! Published in 2019 at "Groundwater for Sustainable Development"
DOI: 10.1016/j.gsd.2019.100232
Abstract: Abstract Removal of heavy metals with adsorption using low-cost adsorbents has motivated many researchers across the world. In this work, support vector regression (SVR) model is developed for the prediction of the removal efficiency of… read more here.
Keywords: svr based; svr; model; support vector ... See more keywords
Fast quantification of total volatile basic nitrogen (TVB-N) content in beef and pork by near-infrared spectroscopy: Comparison of SVR and PLS model.
Sign Up to like & getrecommendations! Published in 2021 at "Meat science"
DOI: 10.1016/j.meatsci.2021.108559
Abstract: With application of PLS regression and SVR, quantitation models of near infrared diffuse reflectance spectroscopy were established for the first time to predict the content of volatile basic nitrogen (TVB-N) content in beef and pork.… read more here.
Keywords: pls; beef pork; pls model; spectroscopy ... See more keywords
Quantitative structure-property relationship of standard enthalpies of nitrogen oxides based on a MSR and LS-SVR algorithm predictions
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Molecular Structure"
DOI: 10.1016/j.molstruc.2020.128867
Abstract: Abstract Quantum chemistry method is used to calculate 1444 descriptors of each nitrogen oxide molecule. Variables are screened by using multiple stepwise regression (MSR). The optimal ten-element regression equation is derived, its R2 = 0.934 and Q2 = 0.927.… read more here.
Keywords: property relationship; quantitative structure; svr;
Adaptive modeling of maritime autonomous surface ships with uncertainty using a weighted LS-SVR robust to outliers
Sign Up to like & getrecommendations! Published in 2020 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2020.107053
Abstract: Abstract Maritime Autonomous Surface Ships (MASS) have become increasingly interesting for the commercial maritime sectors as an alternative to conventional ships. For the purpose of development of MASS operations such as motion control (e.g. collision… read more here.
Keywords: autonomous surface; surface; surface ships; model ... See more keywords
Hybrid machine intelligent SVR variants for wind forecasting and ramp events
Sign Up to like & getrecommendations! Published in 2019 at "Renewable and Sustainable Energy Reviews"
DOI: 10.1016/j.rser.2019.04.002
Abstract: Abstract Wind speed and power forecast is an essential component to ensure grid stability and reliability. The traditional forecasting methods fail to address the non-linearity in the wind speed time-series, thus paving way for machine… read more here.
Keywords: machine; svr; machine intelligent; ramp events ... See more keywords