Oct 7, 2019 · The paper proposed a new iterative variable selection algorithm for multi-layer perceptron (MLP) to predict significant variables in complex industrial ...
The paper proposed a new iterative variable selection algorithm for multi-layer perceptron (MLP) to predict significant variables in complex industrial ...
The proposed algorithm starts from training an ordinary MLP with the original dataset. Following that, the elastic net (EN) algorithm is applied to perform the ...
Abstracts The paper proposed a new iterative variable selection algorithm for multi-layer perceptron (MLP) to predict significant variables ...
A novel data-driven soft sensor technology based on a multilayer perceptron (MLP) neural network with a double least absolute shrinkage and selection operator ...
Jun 18, 2024 · In the study, we propose an adaptive variable selection algorithm for multi-layer perceptron (MLP)-based soft sensors. The proposed algorithm ...
Jun 6, 2024 · In this work, we introduce the LASSO-Clip-EN (LCEN) algorithm for the creation of nonlinear, interpretable machine learning models.
In this paper, we propose a new elastic net regularization integrating partial autocorrelation coefficients (AEN-PAC) model for time series prediction.
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Jul 1, 2023 · In this paper, we have proposed a novel framework that utilizes group concave regu- larization for feature selection and function estimation in ...
In this paper, a novel variable selection method for neural network that can be applied to describe nonlinear industrial processes is developed.
Missing: elastic | Show results with:elastic