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Volumn 16, Issue 6, 1998, Pages 967-992

Neurocomputing approaches to modelling of drying process dynamics

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; DEGRADATION; GENETIC ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PROCESS ENGINEERING; REACTION KINETICS; SILICA GEL;

EID: 0344936676     PISSN: 07373937     EISSN: None     Source Type: Journal    
DOI: 10.1080/07373939808917450     Document Type: Article
Times cited : (46)

References (23)
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    • Huang, B. and Mujumdar, A.S. 1993, Use of Neural Network to Predict Industrial Dryer Performance, Drying Technology, 11(3), pp. 524-541.
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    • The Artificial Neural Networks and the Drying Modelling
    • Jinescu, G. and Lavric, V. 1995, The Artificial Neural Networks and the Drying Modelling, Drying Technology, 13(5-7), pp.1579-1586.
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    • Jinescu, G.1    Lavric, V.2
  • 13
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    • Optimal Control of Bioproduct Drying with Respect to Product Quality
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    • Kamiński, W.1    Strumiłło, P.2    Tomczak, E.3
  • 15
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    • Modelling of Thermal Degradation Process Dynamics of Bioproducts Using Artificial Neural Networks
    • Kamiński, W. Strumiłło, P. Tomczak, E. and Zbiciński, I. 1996, Modelling of Thermal Degradation Process Dynamics of Bioproducts Using Artificial Neural Networks, Journal of Systems Engineering, pp. 159-165.
    • (1996) Journal of Systems Engineering , pp. 159-165
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    • Optimization of Quality of Dehydrated Foods and Biomaterials
    • A.S.Mujumdar (ed), Part A
    • Karel, M. 1992, Optimization of Quality of Dehydrated Foods and Biomaterials, pp 3-16, In: Drying'92, A.S.Mujumdar (ed), Part A.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.