메뉴 건너뛰기




Volumn 5, Issue 1, 2010, Pages 70-77

Neural network approach for modeling the mass transfer of potato slices during osmotic dehydration using genetic algorithm

Author keywords

Genetic algorithm; Mass transfer; Modeling; Neural network; Osmotic dehydration; Potato

Indexed keywords

SOLANUM TUBEROSUM;

EID: 80053993450     PISSN: None     EISSN: 1991637X     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (9)

References (21)
  • 1
    • 0004202155 scopus 로고
    • AOAC, Association of Official Analysis Chemists, Washington
    • AOAC (1990). Association of Official Analysis Chemists Official methods of analysis, Washington.
    • (1990) Official methods of analysis
  • 2
    • 0036817377 scopus 로고    scopus 로고
    • Osmotic dehydration of apples by immersion in concentrated sucrose/maltodextrin solutions
    • Azuara E, Beristan CI, Gutierrez GF (2002). Osmotic dehydration of apples by immersion in concentrated sucrose/maltodextrin solutions. Food Processing and Preservation, 26: 295-306.
    • (2002) Food Processing and Preservation, , vol.26 , pp. 295-306
    • Azuara, E.1    Beristan, C.I.2    Gutierrez, G.F.3
  • 5
    • 9244255359 scopus 로고    scopus 로고
    • A comparative study for the estimation of dynamical drying behavior of Echinacea angustifolia, regression analysis and neural network
    • Erenturk K, Erenturk S, Tabil LG (2004). A comparative study for the estimation of dynamical drying behavior of Echinacea angustifolia, regression analysis and neural network. Comput. Electronics Agric. 45:71-90.
    • (2004) Comput. Electronics Agric. , vol.45 , pp. 71-90
    • Erenturk, K.1    Erenturk, S.2    Tabil, L.G.3
  • 6
    • 34547525049 scopus 로고    scopus 로고
    • Comparison of genetic algorithm and neural network approaches for drying process of carrot
    • Erenturk K, Erenturk S (2007). Comparison of genetic algorithm and neural network approaches for drying process of carrot. J. Food Eng. 78: 905-912.
    • (2007) J. Food Eng. , vol.78 , pp. 905-912
    • Erenturk, K.1    Erenturk, S.2
  • 8
    • 56349166764 scopus 로고    scopus 로고
    • Evaluating the process of a genetic algorithm to improve the back propagation network
    • Huang CY, Chen LH, Chen YL, Chang FM (2009). Evaluating the process of a genetic algorithm to improve the back propagation network. Monte Carlo Stud. 36:1459-1465.
    • (2009) Monte Carlo Stud. , vol.36 , pp. 1459-1465
    • Huang, C.Y.1    Chen, L.H.2    Chen, Y.L.3    Chang, F.M.4
  • 10
    • 0037226313 scopus 로고    scopus 로고
    • Design of structural modular neural networks with genetic algorithm
    • Jiang N, Zhao Z, Reo L (2003). Design of structural modular neural networks with genetic algorithm. Adv. Eng. Software 34: 17-24.
    • (2003) Adv. Eng. Software , vol.34 , pp. 17-24
    • Jiang, N.1    Zhao, Z.2    Reo, L.3
  • 11
    • 33750614444 scopus 로고    scopus 로고
    • Neural network prediction of physical property changes of dried carrot as a function of fractal dimension and moisture content
    • Kerr WL, Kerdpiboon S, Devahastin S (2006). Neural network prediction of physical property changes of dried carrot as a function of fractal dimension and moisture content. Food Res. Int. 39: 1110-1118.
    • (2006) Food Res. Int. , vol.39 , pp. 1110-1118
    • Kerr, W.L.1    Kerdpiboon, S.2    Devahastin, S.3
  • 12
    • 56349157402 scopus 로고    scopus 로고
    • Modeling and optimization of the growth rate for the InO thin films using neural networks and genetic algorithms
    • Ko YD, Moon P, Kim CE, Ham MH, Myonng JM, Yun I (2009). Modeling and optimization of the growth rate for the InO thin films using neural networks and genetic algorithms. Expert Syst. Appl. 36: 4061-4066.
    • (2009) Expert Syst. Appl. , vol.36 , pp. 4061-4066
    • Ko, Y.D.1    Moon, P.2    Kim, C.E.3    Ham, M.H.4    Myonng, J.M.5    Yun, I.6
  • 14
    • 0028336556 scopus 로고
    • Genetic evolution of the topology and weight distribution of neural network
    • Maniezzq V (1994). Genetic evolution of the topology and weight distribution of neural network. IEEE Neural Networks. 5: 39-53.
    • (1994) IEEE Neural Networks. , vol.5 , pp. 39-53
    • Maniezzq, V.1
  • 15
    • 33749983715 scopus 로고    scopus 로고
    • Biologically inspired neural computation of Ginseng drying rate
    • Martynenko AI, Yang SX (2006). Biologically inspired neural computation of Ginseng drying rate. Biosyst. Eng. 95: 385-396.
    • (2006) Biosyst. Eng. , vol.95 , pp. 385-396
    • Martynenko, A.I.1    Yang, S.X.2
  • 16
    • 55249106188 scopus 로고    scopus 로고
    • A neural network for predicting saturated liquid density using genetic algorithm for pure and mixed refrigerants
    • Mohebbi A, Taheri M, Soltani A (2008). A neural network for predicting saturated liquid density using genetic algorithm for pure and mixed refrigerants. International Journal of Refrigeration, 31:1317-1327.
    • (2008) International Journal of Refrigeration , vol.31 , pp. 1317-1327
    • Mohebbi, A.1    Taheri, M.2    Soltani, A.3
  • 17
    • 34848923325 scopus 로고    scopus 로고
    • Modeling of tomato drying using artificial neural network
    • Movagharnejad K, Nikzad M (2007). Modeling of tomato drying using artificial neural network. Comput. Electronics Agric. 59:78-85.
    • (2007) Comput. Electronics Agric. , vol.59 , pp. 78-85
    • Movagharnejad, K.1    Nikzad, M.2
  • 18
    • 0013227315 scopus 로고    scopus 로고
    • Optimal control of the microfiltration of sugar product using a controller combining fuzzy and genetic approaches
    • Perrot N, Me L, Trystram G, Trichard JM, Decloux M (1998). Optimal control of the microfiltration of sugar product using a controller combining fuzzy and genetic approaches. Fuzzy Sets Syst. 94: 309-322.
    • (1998) Fuzzy Sets Syst. , vol.94 , pp. 309-322
    • Perrot, N.1    Me, L.2    Trystram, G.3    Trichard, J.M.4    Decloux, M.5
  • 19
    • 2642562949 scopus 로고    scopus 로고
    • Influence of osmotic pretreatment on rehydration characteristics of carrots
    • Rastogi NK, Nayak CA, Raghavaro KS (2004). Influence of osmotic pretreatment on rehydration characteristics of carrots. J. Food Eng. 6: 287-292.
    • (2004) J. Food Eng. , vol.6 , pp. 287-292
    • Rastogi, N.K.1    Nayak, C.A.2    Raghavaro, K.S.3
  • 20
    • 0347526092 scopus 로고    scopus 로고
    • Artificial neural network and support vector machine with GENETIC ALGORITHM for bearing fault detection
    • Samanta B, Al-Balushi KR, Al-Araimi SA (2003). Artificial neural network and support vector machine with GENETIC ALGORITHM for bearing fault detection. Eng. Appl. Artif. Intell. 16: 657-665.
    • (2003) Eng. Appl. Artif. Intell. , vol.16 , pp. 657-665
    • Samanta, B.1    Al-Balushi, K.R.2    Al-Araimi, S.A.3
  • 21
    • 0030206799 scopus 로고    scopus 로고
    • Mathematical modeling and simulation of mass transfer in osmotic dehydration processes. Part I: Conceptual and mathematical model
    • Yao Z, Le Maguer M (1996). Mathematical modeling and simulation of mass transfer in osmotic dehydration processes. Part I: Conceptual and mathematical model. J. Food. Eng. 29: 349-360.
    • (1996) J. Food. Eng. , vol.29 , pp. 349-360
    • Yao, Z.1    le Maguer, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.