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   Articles with "svr model" as a keyword



A novel (U)MIDAS-SVR model with multi-source market sentiment for forecasting stock returns

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recommendations! Published in 2019 at "Neural Computing and Applications"

DOI: 10.1007/s00521-019-04063-6

Abstract: From the point view of behavioral finance, market sentiment plays an important role in forecasting stock returns. How to accurately measure the impact of market sentiment is a challenge work. Two issues on nonlinear relationship… read more here.

Keywords: market sentiment; svr model; midas svr;

Forecasting riverine total nitrogen loads using wavelet analysis and support vector regression combination model in an agricultural watershed

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recommendations! Published in 2018 at "Environmental Science and Pollution Research"

DOI: 10.1007/s11356-018-2698-3

Abstract: In the context of non-point source pollution management and algal blooms control, the reliable nutrient forecasting is of critical importance. Considering the highly stochastic, non-linear, and non-stationary natures involved in riverine total nitrogen (TN) load… read more here.

Keywords: wavelet; model; svr model; riverine loads ... See more keywords

Research on subway settlement prediction based on the WTD-PSR combination and GSM-SVR model

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-02673-w

Abstract: Due to the speeding up of urban development and the rapid population expansion in China, the subway has become the preferred mode of transportation for people, and urban underground spaces are continuously being improved. However,… read more here.

Keywords: svr model; settlement; prediction; subway settlement ... See more keywords

Exploring the impact of feature selection on load profile analysis and energy demand forecasting through enhanced support vector regression

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recommendations! Published in 2024 at "Physica Scripta"

DOI: 10.1088/1402-4896/ad9d03

Abstract: This paper investigates the impact of weather and calendar data features on load profile analysis and proposes an improved load profile forecasting approach using Support Vector Regression (SVR). A detailed load profile was constructed for… read more here.

Keywords: analysis; load profile; svr model;

Inversion Modeling of Chlorophyll Fluorescence Parameters in Cotton Canopy via Moisture Data and Spectral Analysis

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recommendations! Published in 2024 at "Agronomy"

DOI: 10.3390/agronomy14102190

Abstract: The study of chlorophyll fluorescence parameters is very important for understanding plant photosynthesis. Monitoring cotton chlorophyll fluorescence parameters via spectral technology can aid in understanding the photosynthesis, growth, and stress of cotton fields in real… read more here.

Keywords: svr model; fluorescence; model; cotton ... See more keywords