Proximate analysis based prediction of gross calorific value of coals: A comparison of support vector machine, alternating conditional expectation and artificial neural network-Reference-Cited by-同舟云学术

Proximate analysis based prediction of gross calorific value of coals: A comparison of support vector machine, alternating conditional expectation and artificial neural network

Published:2015-01 Issue: Volume:129 Page:120-129
ISSN:0378-3820
Container-title:Fuel Processing Technology
language:en
Short-container-title:Fuel Processing Technology

Author:

Feng Qihong,Zhang Jiyuan,Zhang Xianmin,Wen Shengming

Funder

PCSIRT

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

National Science and Technology Major Project of China

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference50 articles.

1. Optimizing well placement in a coalbed methane reservoir using the particle swarm optimization algorithm;Feng;International Journal of Coal Geology,2012

2. Coal mine methane: a review of capture and utilization practices with benefits to mining safety and to greenhouse gas reduction;Karacan;International Journal of Coal Geology,2011

3. Coalbed methane: a review;Moore;International Journal of Coal Geology,2012

4. Techno-economic impacts of shale gas on cellulosic biofuel pathways;Browna;Fuel,2014

5. New gas material balance to quantify biogenic gas generation rates from shallow organic-matter-rich shales;Cokar;Fuel,2013

Cited by 84 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. Improved neural network model based on dung beetle algorithm to predict CO2-brine interfacial tension;Geoenergy Science and Engineering;2024-08

2. Estimation of gross calorific value of coal: A literature review;International Journal of Coal Preparation and Utilization;2024-04-14

3. Limitations Associated with Proximate Analysis-Based Gross Calorific Value Modeling for Coals;Mineral Processing and Extractive Metallurgy Review;2024-03-31

4. Prediction of some physical properties of nanofluids including various metal oxides using artificial neural network;Revue Roumaine de Chimie;2024-02-28

5. Data-driven computational approaches to estimate gross calorific value of coal using proximate and ultimate analyses;International Journal of Coal Preparation and Utilization;2024-01-02