2011
DOI: 10.1080/19392699.2010.527876
|View full text |Cite
|
Sign up to set email alerts
|

Study Relationship between Inorganic and Organic Coal Analysis with Gross Calorific Value by Multiple Regression and ANFIS

Abstract: The relationship between maceral content plus mineral matter and gross calorific value (GCV) for a wide range of West Virginia coal samples (from 6518 to 15330 BTU=lb; 15.16 to 35.66 MJ=kg) has been investigated by multivariable regression and adaptive neurofuzzy inference system (ANFIS). The stepwise least square mathematical method comparison between liptinite, vitrinite, plus mineral matter as input data sets with measured GCV reported a nonlinear correlation coefficient (R 2 ) of 0.83. Using the same data … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
11
0

Year Published

2012
2012
2024
2024

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 35 publications
(11 citation statements)
references
References 8 publications
0
11
0
Order By: Relevance
“…The sign of the Pearson shows the direction of the interaction. Typically, -0.6 \ r \ 0.6 shows that there is a strong interaction between two parameters (Chehreh Chelgani et al 2011aChelgani et al , b, 2016a. (Table 3) were designed based on selected effective variables (Table 2) to find the optimum points of each parameter.…”
Section: Experimental Methods and Proceduresmentioning
confidence: 99%
See 1 more Smart Citation
“…The sign of the Pearson shows the direction of the interaction. Typically, -0.6 \ r \ 0.6 shows that there is a strong interaction between two parameters (Chehreh Chelgani et al 2011aChelgani et al , b, 2016a. (Table 3) were designed based on selected effective variables (Table 2) to find the optimum points of each parameter.…”
Section: Experimental Methods and Proceduresmentioning
confidence: 99%
“…During decades, tons of valuable coal particles are accumulated at tailing dams of washing plants due to different problems which were associated by old technologies and complexity of coal processing. On the other hands, demanding growth for high quality coal products from various industries (power plants, cement, paper production and sponge iron units) and decreasing the number of high grade raw coal deposits (Chehreh Chelgani et al 2011a, b;Royaei et al 2012;Chehreh Chelgani and Makaremi 2013;Dey et al 2015;Matin and Chehreh Chelgani 2016) have been complicated coal beneficiation methods and subjected enormous volume of coal particles to wastes (tailing dams). Coal wastes typically can be used in different industries such as building and road making; however, these applications are limited and a huge amount of coal particles are accumulated as dump sand pulps in the tailing dams.…”
Section: Introductionmentioning
confidence: 99%
“…In this case, since the p -value indicates the degree of rejection of the null hypothesis that the independent variable affects the dependent variable, it can be judged that the smaller the p -value, the more significant the effect [ 11 ]. Since the standardization factor (β) is an indicator of the influence of each independent variable on the dependent variable, the larger the value, the more independent variables affect the dependent variable [ 12 ].…”
Section: Applicability Of the 2 Mhz Side Scan Sonarmentioning
confidence: 99%
“…As a result of analysis, the distance between water depth and structure showed a major influence on angle of the towfish. In this case, since the value, which is probability of significance, indicates the degree of rejection of the null hypothesis that the independent variable affects the dependent variable, it can be judged that the smaller the value is, the more significant it is [14,16]. The larger value and the more independent variables affect the dependent variable because the standardization factor ( ) is an indicator of the influence of each independent variable on the dependent variable [17].…”
Section: Journal Of Sensorsmentioning
confidence: 99%