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231225s2019 xx |||||o 00| ||eng c |
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|a 10.1177/0734242X18816797
|2 doi
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|a pubmed24n0973.xml
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Boumanchar, Imane
|e verfasserin
|4 aut
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| 245 |
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|a Municipal solid waste higher heating value prediction from ultimate analysis using multiple regression and genetic programming techniques
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|c 2019
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 09.09.2019
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|a Date Revised 09.09.2019
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Municipal solid waste (MSW) management presents an important challenge for all countries. In order to exploit them as a source of energy, a knowledge of their calorific value is essential. In fact, it can be experimentally measured by an oxygen bomb calorimeter. This process is, however, expensive. In this light, the purpose of this paper was to develop empirical models for the prediction of MSW higher heating value (HHV) from ultimate analysis. Two methods were used: multiple regression analysis and genetic programming formalism. Both techniques gave good results. Genetic programming, however, provides more accuracy compared to published works in terms of a great correlation coefficient (CC) and a low root mean square error (RMSE)
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|a Journal Article
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|a Energy
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|a genetic programming
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|a higher heating value
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|a multiple regression
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|a municipal solid waste
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|a prediction
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|a Solid Waste
|2 NLM
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1 |
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|a Chhiti, Younes
|e verfasserin
|4 aut
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|a M'hamdi Alaoui, Fatima Ezzahrae
|e verfasserin
|4 aut
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|a Sahibed-Dine, Abdelaziz
|e verfasserin
|4 aut
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|a Bentiss, Fouad
|e verfasserin
|4 aut
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|a Jama, Charafeddine
|e verfasserin
|4 aut
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|a Bensitel, Mohammed
|e verfasserin
|4 aut
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|i Enthalten in
|t Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
|d 1991
|g 37(2019), 6 vom: 19. Juni, Seite 578-589
|w (DE-627)NLM098164791
|x 1096-3669
|7 nnns
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| 773 |
1 |
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|g volume:37
|g year:2019
|g number:6
|g day:19
|g month:06
|g pages:578-589
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