Intelligent loading system for bulk materials based on FWA-RFN

In order to solve the problems of serious unbalanced loading and large errors during the loading of bulk materials in coal mines, an intelligent loading system for bulk materials based on the fireworks algorithm (FWA) optimized recursive fuzzy neural network (RFNN) is proposed. By comparing the meas...

詳細記述

書誌詳細

出版年:	Gong-kuang zidonghua
主要な著者:	LIU Zechao, LI Jingzhao, OUYANG Qichun, WANG Jining
フォーマット:	論文
言語:	中国語
出版事項:	Editorial Department of Industry and Mine Automation 2020-12-01
主題:	bulk material loading unbalanced loading fireworks algorithm recursive fuzzy neural network
オンライン･アクセス:	http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.17673