Optimization of neural network parameters in improvement of particulate matter concentration prediction of open-pit mining-Reference-Cited by-同舟云学术

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Optimization of neural network parameters in improvement of particulate matter concentration prediction of open-pit mining

Published:2023-11 Issue: Volume:147 Page:110769
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Lu Xiang,Zhou Wei,Ly Hai Bang,Qi Chongchong,Nguyen Thuy-Anh,Nguyen May Huu,Huang Jiandong,Pham Binh Thai

Funder

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Software

Reference46 articles.

1. Optimization of the transition from open-pit to underground operation in combined mining using (0-1) integer programming;Bakhtavar;J. South. Afr. Inst. Min. Metall.,2012

2. A new procedure for recycling waste tailings as cemented paste backfill to underground stopes and open pits;Lu;J. Clean. Prod.,2018

3. Atmospheric deposition of antimony in a typical mercury-antimony mining area, Shaanxi Province, Southwest China;Ao;Environ. Pollut.,2019

4. Concomitant occurrence of anthropogenic air pollutants, mineral dust and fungal spores during long-distance transport of ragweed pollen;Grewling;Environ. Pollut.,2019

5. Emissions and human health impact of particulate matter from surface mining operation—A review;Patra;Environ. Technol. Innov.,2016

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1. Maximizing Mining Operations: Unlocking the Crucial Role of Intelligent Fleet Management Systems in Surface Mining’s Value Chain;Mining;2023-12-22

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