Optimizing Temperature Setting for Decomposition Furnace Based on Attention Mechanism and Neural Networks
Shangkun Liu,
Wei Shen,
Chase Q. Wu
et al.
Abstract:The temperature setting for a decomposition furnace is of great importance for maintaining the normal operation of the furnace and other equipment in a cement plant and ensuring the output of high-quality cement products. Based on the principles of deep convolutional neural networks (CNNs), long short-term memory networks (LSTMs), and attention mechanisms, we propose a CNN-LSTM-A model to optimize the temperature settings for a decomposition furnace. The proposed model combines the features selected by Least A… Show more
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