A multiobjective prediction model with incremental learning ability by developing a multi-source filter neural network for the electrolytic aluminium process

A multiobjective prediction model with incremental learning ability by developing a multi-source filter neural network for the electrolytic aluminium process

Improving current efficiency and reducing energy consumption are two important technical goals of the electrolytic aluminum process (EAP). However, because the process involves complex noise characteristics (i.e., unknown types, redundant distributions and variable forms), it is very difficult to ac...

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書目詳細資料
Main Authors:	Yao, Lizhong, Ding, Wei, He, Tiantian, Liu, Shouxin, Nie, Ling
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Computer science and engineering Multi-Source Filter Unscented Kalman Filter
在線閱讀:	https://hdl.handle.net/10356/163863
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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