ScTCN-LightGBM: a hybrid learning method via transposed dimensionality-reduction convolution for loading measurement of industrial material

ScTCN-LightGBM: a hybrid learning method via transposed dimensionality-reduction convolution for loading measurement of industrial material

Dynamic measurement via deep learning can be applied in many industrial fields significantly (e.g. electrical power load and fault diagnosis acquisition). Nowadays, accurate and continuous loading measurement is essential in coal mine production. The existing methods are weak in loading measurement...

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Bibliographic Details
Main Authors:	Zihua Chen, Runmei Zhang, Zhong Chen, Yu Zheng, Shunxiang Zhang
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2023-12-01
Series:	Connection Science
Subjects:	Loading measurement of industrial material transposed dimensionality-reduction convolution gradient boosting machine hybrid learning model
Online Access:	https://www.tandfonline.com/doi/10.1080/09540091.2023.2278275

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