Strength prediction of similar materials to ionic rare earth ores based on orthogonal test and back propagation neural network-Reference-Cited by-同舟云学术

Strength prediction of similar materials to ionic rare earth ores based on orthogonal test and back propagation neural network

Published:2019-02-12 Issue:19 Volume:23 Page:9429-9437
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Zhong Wen,Deng Yunchuan,Tenreiro Machado J. A.,Zhang Chao,Zhao Kui,Wang Xiaojun

Funder

National Natural Science Foundation of China

Postdoctoral Research Foundation of China

National key technologies Research & Development program

Open Research Fund of State Key Laboratory of Geomechanics and Geotechnical Engineering

China Scholarship Council

Program of Qingjiang Excellent Young Talents

Program of Hundred People Voyage, Jiangxi Province

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-019-03833-7/fulltext.html

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