A Dynamic Time Warping Based Locally Weighted LSTM Modeling for Temperature Prediction of Recycled Aluminum Smelting

A Dynamic Time Warping Based Locally Weighted LSTM Modeling for Temperature Prediction of Recycled Aluminum Smelting

In the process of recycled aluminum smelting, timely measurement of the temperature of the smelting furnace is very important for the aluminum yield and quality. However, it is sometimes difficult or costly to measure the temperature in a timely manner due to the high temperature and pressure enviro...

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Bibliographic Details
Main Authors: Yanhui Duan, Jiayang Dai, Yasong Luo, Guanyuan Chen, Xinchen Cai
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Temperature prediction
just-in-time learning
dynamic time warping
fuzzy c-means
long short-term memory neural network
Online Access:https://ieeexplore.ieee.org/document/10100736/

Internet

https://ieeexplore.ieee.org/document/10100736/

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