Towards Intelligent Mining for Backfill: A genetic programming-based method for strength forecasting of cemented paste backfill-Reference-Cited by-同舟云学术

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Towards Intelligent Mining for Backfill: A genetic programming-based method for strength forecasting of cemented paste backfill

Published:2019-03 Issue: Volume:133 Page:69-79
ISSN:0892-6875
Container-title:Minerals Engineering
language:en
Short-container-title:Minerals Engineering

Author:

Qi Chongchong^ORCID,Tang Xiaolin,Dong Xiangjian,Chen Qiusong,Fourie Andy,Liu Enyan

Funder

12th Five Years Key Programs for Science and Technology Development of China

Fundamental Research Funds for the Central Universities of Central South University

China Scholarship Council

Publisher

Elsevier BV

Subject

Mechanical Engineering,Geotechnical Engineering and Engineering Geology,General Chemistry,Control and Systems Engineering

Reference37 articles.

1. Sizing and topology optimization of truss structures using genetic programming;Assimi;Swarm Evol. Comput.,2017

2. Standard test method for compressive strength of cylindrical concrete specimens;Astm;ASTM Int.,2001

3. Recycling phosphogypsum and construction demolition waste for cemented paste backfill and its environmental impact;Chen;J. Cleaner Prod.,2018

4. Paste backfill of high-sulphide mill tailings using alkali-activated blast furnace slag: effect of activator nature, concentration and slag properties;Cihangir;Miner. Eng.,2015

5. A representation for the adaptive generation of simple sequential programs;Cramer,1985

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