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• W2040578118 abstract "Variable Structure Regression (VSR) is a new kind of non-linear regression model, which simultaneously determines the exact mathematical structure of non-linear regressors and how many regressors there are, thereby freeing the end user from trial and error time-consuming studies to determine these. The results are based on an iterative procedure for optimizing parameters and automatically identifying the structure of the VSR model. A novel feature of this new model is it not only uses a linguistic term for a variable but it also uses the complement of that term. It also provides the end user with a physical understanding of the regressors. A Monte Carlo study shows the practical accuracy of VSR model on the classical Gas Furnace time-series prediction problem. VSR ranked #1 compared to five other methods." @default.
• W2040578118 created "2016-06-24" @default.
• W2040578118 creator A5028699912 @default.
• W2040578118 creator A5076019810 @default.
• W2040578118 date "2014-07-01" @default.
• W2040578118 modified "2023-10-18" @default.
• W2040578118 title "Non-linear Variable Structure Regression (VSR) and its application in time-series forecasting" @default.
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• W2040578118 doi "https://doi.org/10.1109/fuzz-ieee.2014.6891546" @default.
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