Gross calorific value of various bituminous coal samples.

被引：0

作者：

Ream, PJ ^{[1
]}

机构：

[1] Washington & Jefferson Coll, Washington, PA 15301 USA

来源：

ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY | 1998年 / 216卷

关键词：

D O I：

暂无

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

311-CHED

引用

页码：U462 / U462

页数：1

共 50 条

[21] Exploring relationships of gross calorific value and valuable elements with conventional coal properties for North Korean coals
Saeed Chehreh Chelgani
InternationalJournalofMiningScienceandTechnology, 2019, 29 (06) : 867 - 871
[22] Exploring relationships of gross calorific value and valuable elements with conventional coal properties for North Korean coals
Chelgani, Saeed Chehreh
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY, 2019, 29 (06) : 867 - 871
[23] Rapid Determination of Gross Calorific Value of Coal Using Artificial Neural Network and Particle Swarm Optimization
Hoang Nguyen
Hoang-Bac Bui
Xuan-Nam Bui
Natural Resources Research, 2021, 30 : 621 - 638
[24] Study Relationship between Inorganic and Organic Coal Analysis with Gross Calorific Value by Multiple Regression and ANFIS
Chelgani, S. Chehreh
Hart, Brian
Grady, William C.
Hower, James C.
INTERNATIONAL JOURNAL OF COAL PREPARATION AND UTILIZATION, 2011, 31 (01) : 9 - 19
[25] Prediction and policy: Do empirical gross calorific value prediction help reduce coal testing overload?
Sadangi, Saroj K.
Pradhan, Rudra P.
ENERGY EXPLORATION & EXPLOITATION, 2025, 43 (01) : 257 - 280
[26] Prediction of gross calorific value and ash content of woodchip samples by means of FT-NIR spectroscopy
Mancini, M.
Rinnan, A.
Pizzi, A.
Toscano, G.
FUEL PROCESSING TECHNOLOGY, 2018, 169 : 77 - 83
[27] Transparent open-box learning network provides auditable predictions for coal gross calorific value
Wood, David A.
MODELING EARTH SYSTEMS AND ENVIRONMENT, 2019, 5 (02) : 395 - 419
[28] Rapid Determination of Gross Calorific Value of Coal Using Artificial Neural Network and Particle Swarm Optimization
Hoang Nguyen
Hoang-Bac Bui
Bui, Xuan-Nam
NATURAL RESOURCES RESEARCH, 2021, 30 (01) : 621 - 638
[29] Predicting the Gross Calorific Value of Coal Based on Support Vector Machine and Partial Least Squares Aigorithm
Jing, Li
2016 IEEE INTERNATIONAL CONFERENCE ON KNOWLEDGE ENGINEERING AND APPLICATIONS (ICKEA 2016), 2016, : 221 - 225
[30] Transparent open-box learning network provides auditable predictions for coal gross calorific value
David A. Wood
Modeling Earth Systems and Environment, 2019, 5 : 395 - 419

← 1 2 3 4 5 →