Ventilation on demand in underground mines using neuro-fuzzy models: Modeling and laboratory-scale experimental validation-Reference-Cited by-同舟云学术

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Ventilation on demand in underground mines using neuro-fuzzy models: Modeling and laboratory-scale experimental validation

Published:2024-07 Issue: Volume:133 Page:108048
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Ihsan Ahmad^ORCID,Widodo Nuhindro Priagung^ORCID,Cheng Jianwei,Wang En-yuan

Funder

Bandung Institute of Technology

Publisher

Elsevier BV

Reference58 articles.

1. Ventilation control system implementation and energy consumption reduction at Totten Mine with Level 4 Tagging and future plans;Acuña,2017

2. Ventilation control system implementation and energy consumption reduction at Totten Mine with Level 4 Tagging and future plans;Acuña,2017

3. A review of primary mine ventilation system optimization;Acuña;Interfaces,2014

4. Updated Ventilation on Demand review: implementation and savings achieved;Acuña,2016

5. Updated Ventilation on Demand review: implementation and savings achieved;Acuña,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of artificial intelligence in mine ventilation: a brief review;Frontiers in Artificial Intelligence;2024-05-02

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