Research on dynamic rolling force prediction model based on CNN-BN-LSTM

Research on dynamic rolling force prediction model based on CNN-BN-LSTM

Considering the effects of vertical vibration displacement and horizontal vibration displacement of work rolls, a CNN-BN-LSTM dynamic rolling force prediction model based on the combination of one-dimensional convolutional neural network (1D-CNN), Batch Normalization (BN) and Long Short-Term Memory...

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Bibliographic Details
Main Authors: Chengliang WANG, Ming ZHANG
Format: Article
Language:English
Published: The Japan Society of Mechanical Engineers 2022-09-01
Series:Journal of Advanced Mechanical Design, Systems, and Manufacturing
Subjects:
hot strip rolling
dynamic rolling force prediction
convolutional neural network
long short-term memory network
batch normalization
rolling process stability
Online Access:https://www.jstage.jst.go.jp/article/jamdsm/16/3/16_2022jamdsm0029/_pdf/-char/en

Internet

https://www.jstage.jst.go.jp/article/jamdsm/16/3/16_2022jamdsm0029/_pdf/-char/en

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