Sparse neural network regression with variable selection
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence"
DOI: 10.1111/coin.12557
Abstract: This paper reports on our study of a sparse neural network regression method based on a single hidden layer architecture and sparsity‐inducing penalties. To determine the size of network in a data‐adaptive way, we adopt… read more here.
Keywords: neural network; network; regression variable; sparse neural ... See more keywords
Evaluation of the Calculated Sizes Based on the Neural Network Regression
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/4078456
Abstract: The evaluation models of circumference diameter, area diameter, and volume diameter were established based on the cylindrical coordinate measuring method, respectively. Many groups of roundness profiles of cylindrical specimens were extracted, and their pseudo and… read more here.
Keywords: network regression; neural network; evaluation calculated; evaluation ... See more keywords
Detecting Structural Change Point in ARMA Models via Neural Network Regression and LSCUSUM Methods
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DOI: 10.3390/e25010133
Abstract: This study considers the change point testing problem in autoregressive moving average (ARMA) (p,q) models through the location and scale-based cumulative sum (LSCUSUM) method combined with neural network regression (NNR). We estimated the model parameters… read more here.
Keywords: neural network; arma models; lscusum; change point ... See more keywords