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Volumn 36, Issue 7, 2013, Pages 1193-1201

Drying Kinetics Prediction of Solid Waste Using Semi-Empirical and Artificial Neural Network Models

Author keywords

Artificial neural networks; Drying kinetics; Fixed bed dryer; Thin layer drying

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; DRYING KINETIC; EMPIRICAL CORRELATIONS; EXPERIMENTAL STUDIES; FIXED-BED; NONLINEAR REGRESSION TECHNIQUE; OPERATIONAL CONDITIONS; THIN LAYER DRYING;

EID: 84879499840     PISSN: 09307516     EISSN: 15214125     Source Type: Journal    
DOI: 10.1002/ceat.201200593     Document Type: Article
Times cited : (27)

References (36)
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  • 17
    • 84879497861 scopus 로고    scopus 로고
    • S. J. Chapman, MATLAB Programming for Engineers, 3rd ed., Thompson, New York 2005.
    • S. J. Chapman, MATLAB Programming for Engineers, 3rd ed., Thompson, New York 2005.
  • 26
    • 84879504069 scopus 로고    scopus 로고
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  • 27
    • 84879498907 scopus 로고    scopus 로고
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  • 29
    • 84879497694 scopus 로고    scopus 로고
    • D. M. Himmelblau, Process Analysis by Statistical Methods, John Wiley & Sons, New York 1970.
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  • 32
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    • R. B. Keey, Introduction to Industrial Drying Operations, Pergamon Press, Oxford 1978.
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  • 33
  • 35
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    • C. J. Geankoplis, Transport Processes and Separation Process Principles, Prentice Hall, New York 2003.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.