Proportion optimization and strength prediction of CGS backfill materials based on GA-ELM mode-Reference-Cited by-同舟云学术

Proportion optimization and strength prediction of CGS backfill materials based on GA-ELM mode

Published:2023-05-02 Issue:2 Volume:45 Page:5173-5189
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Suo Yonglu¹,Zhang Caixin¹²,Liu Lang¹²³^ORCID,Qu Huisheng¹²,Yang Pan¹²,Xie Geng¹²

Affiliation:

1. Energy School, Xi’an University of Science and Technology, Xi’an, China

2. Research Center for Functional Backfill Technology in Mine, Xi’an University of Science and Technology, Xi’an, China

3. Key Laboratory of Western Mines and Hazards Prevention, Ministry of Education of China, Xi’an, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2023.2205353

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