메뉴 건너뛰기




Volumn 33, Issue 3, 2013, Pages 411-416

An artificial neural network model for prediction of quality characteristics of apples during convective dehydration

Author keywords

Artificial neural networks; Dried apple; Genetic algorithm; Process optimization; Quality attributes

Indexed keywords

MALUS X DOMESTICA;

EID: 84885640177     PISSN: 01012061     EISSN: 1678457X     Source Type: Journal    
DOI: 10.1590/S0101-20612013005000064     Document Type: Article
Times cited : (30)

References (24)
  • 1
    • 20044363816 scopus 로고    scopus 로고
    • Leave-one-out prediction error of systolic arterial pressure time series under paced breathing
    • PMid:15886432
    • ANCONA, A. et al. Leave-one-out prediction error of systolic arterial pressure time series under paced breathing. Physiological Measurements, v. 26, n. 4, p. 363-72, 2005. PMid:15886432. http://dx.doi.org/10.1088/0967-3334/26/4/003
    • (2005) Physiological Measurements , vol.26 , Issue.4 , pp. 363-372
    • Ancona, A.1
  • 2
    • 34548544559 scopus 로고    scopus 로고
    • Prediction of process and product parameters in an orange juice spray dryer using artificial neural networks
    • CHEGINI, G. R. et al. Prediction of process and product parameters in an orange juice spray dryer using artificial neural networks. Journal of Food Engineering, v. 84, p. 534-543, 2008. http://dx.doi.org/10.1016/j.jfoodeng.2007.06.007
    • (2008) Journal of Food Engineering , vol.84 , pp. 534-543
    • Chegini, G.R.1
  • 3
    • 0034908130 scopus 로고    scopus 로고
    • Prediction of quality changes during osmo-convective drying of blueberries using neural network models for process optimization
    • CHEN, C. R.; RAMASWAMY, C. H.; ALLI, I. Prediction of quality changes during osmo-convective drying of blueberries using neural network models for process optimization. Drying Technology, v. 19, n. 3-4, p. 507-523, 2001. http://dx.doi.org/10.1081/DRT-100103931
    • (2001) Drying Technology , vol.19 , Issue.3-4 , pp. 507-523
    • Chen, C.R.1    Ramaswamy, C.H.2    Alli, I.3
  • 4
    • 43849113474 scopus 로고    scopus 로고
    • Effect of cooking on the antioxidant properties of coloured peppers
    • CHUAH, A. M. et al. Effect of cooking on the antioxidant properties of coloured peppers. Food Chemistry, v. 111, p. 20-28, 2008. http://dx.doi.org/10.1016/j.foodchem.2008.03.022
    • (2008) Food Chemistry , vol.111 , pp. 20-28
    • Chuah, A.M.1
  • 5
    • 33344467271 scopus 로고    scopus 로고
    • Design of neural networks using genetic algorithm for on-line property estimation of crude fractionator products
    • DAM, M.; SARAF, D. Design of neural networks using genetic algorithm for on-line property estimation of crude fractionator products. Computers and Chemical Engineering, v. 30, p. 722-729, 2006. http://dx.doi.org/10.1016/j.compchemeng.2005.12.001
    • (2006) Computers and Chemical Engineering , vol.30 , pp. 722-729
    • Dam, M.1    Saraf, D.2
  • 6
    • 38849201825 scopus 로고    scopus 로고
    • Drying kinetics and quality changes during drying of red pepper
    • DI SCALA, K.; CRAPISTE, G. Drying kinetics and quality changes during drying of red pepper. LWT-Food Science and Technology, v. 41, n. 5, p. 789-795, 2008.
    • (2008) LWT-Food Science and Technology , vol.41 , Issue.5 , pp. 789-795
    • Di Scala, K.1    Crapiste, G.2
  • 7
    • 34547525049 scopus 로고    scopus 로고
    • Comparison of genetic algorithm and neural network approaches for the drying process of carrot
    • ERENTURK, S.; ERENTURK, K. Comparison of genetic algorithm and neural network approaches for the drying process of carrot. Journal of Food Engineering, v. 78, p. 905-912, 2007. http://dx.doi.org/10.1016/j.jfoodeng.2005.11.031
    • (2007) Journal of Food Engineering , vol.78 , pp. 905-912
    • Erenturk, S.1    Erenturk, K.2
  • 8
    • 80053573935 scopus 로고    scopus 로고
    • Effect of Osmotic Dehydration and air drying on physicochemical properties of dried kiwifruit and modeling of dehydration process using neural network and genetic algorithm
    • FATHI, M.; MOHEBBI, M.; RAZAVI, S. Effect of Osmotic Dehydration and air drying on physicochemical properties of dried kiwifruit and modeling of dehydration process using neural network and genetic algorithm. Food and Bioprocess Technology, v. 4, n. 8, p. 1519-1526, 2011. http://dx.doi.org/10.1007/s11947-010-0452-z
    • (2011) Food and Bioprocess Technology , vol.4 , Issue.8 , pp. 1519-1526
    • Fathi, M.1    Mohebbi, M.2    Razavi, S.3
  • 9
    • 1542289053 scopus 로고    scopus 로고
    • Neural networks for the heat and mass transfer prediction during drying of cassava and mango
    • HERNÁNDEZ-PÉREZ, J. A. et al. Neural networks for the heat and mass transfer prediction during drying of cassava and mango. Innovative Food Science and Emerging Technologies, v. 5, p. 57-64, 2004. http://dx.doi.org/10.1016/j.ifset.2003.10.004
    • (2004) Innovative Food Science and Emerging Technologies , vol.5 , pp. 57-64
    • Hernández-Pérez, J.A.1
  • 10
    • 20744437063 scopus 로고    scopus 로고
    • Neural Networks Approach to Modeling Food Processing Operations
    • IRUDAYARAJ, J. (Ed.)., Marcel Dekker, Inc
    • JINDAL, V. K.; CHAUHAN, V. Neural Networks Approach to Modeling Food Processing Operations. In: IRUDAYARAJ, J. (Ed.). Food Processing Operations Modeling. Marcel Dekker, Inc., 2001.
    • (2001) Food Processing Operations Modeling
    • Jindal, V.K.1    Chauhan, V.2
  • 11
    • 76249134482 scopus 로고    scopus 로고
    • Artificial neural network modeling of apple drying process
    • KHOSHHAL, A. et al. Artificial neural network modeling of apple drying process. Journal of Food Process Engineering, v. 33, p. 298-313, 2010. http://dx.doi.org/10.1111/j.1745-4530.2009.00435.x
    • (2010) Journal of Food Process Engineering , vol.33 , pp. 298-313
    • Khoshhal, A.1
  • 12
    • 70349596358 scopus 로고    scopus 로고
    • Dehydration characteristics of papaya (Carica pubenscens): Determination of equilibrium moisture content and diffusion coefficient
    • LEMUS-MONDACA, R. et al. Dehydration characteristics of papaya (Carica pubenscens): determination of equilibrium moisture content and diffusion coefficient. Journal of Food Process Engineering, v. 32, n. 5, p. 645-663, 2009. http://dx.doi.org/10.1111/j.1745-4530.2007.00236.x
    • (2009) Journal of Food Process Engineering , vol.32 , Issue.5 , pp. 645-663
    • Lemus-Mondaca, R.1
  • 13
    • 34547566069 scopus 로고    scopus 로고
    • Moisture content and water activity prediction of semi-finished cassava crackers from drying process with artificial neural network
    • LERTWORASIRIKUL, S.; TIPSUWAN, Y. Moisture content and water activity prediction of semi-finished cassava crackers from drying process with artificial neural network. Journal of Food Engineering, v. 84, n. 1, p. 65-74, 2008. http://dx.doi.org/10.1016/j.jfoodeng.2007.04.019
    • (2008) Journal of Food Engineering , vol.84 , Issue.1 , pp. 65-74
    • Lertworasirikul, S.1    Tipsuwan, Y.2
  • 14
    • 0034633084 scopus 로고    scopus 로고
    • Review of enzymatic browning and antioxidant capacity in processed foods
    • MANZOCCO, L. et al. Review of enzymatic browning and antioxidant capacity in processed foods. Trends in Food Science and Technology, v. 11, p. 340-346, 2001. http://dx.doi.org/10.1016/S0924-2244(01)00014-0
    • (2001) Trends In Food Science and Technology , vol.11 , pp. 340-346
    • Manzocco, L.1
  • 15
    • 34848923325 scopus 로고    scopus 로고
    • Modeling of tomato drying using artificial neural network
    • MOVAGHARNEJAD, K.; NIKZAD, M. Modeling of tomato drying using artificial neural network. Computers and Electronics in Agriculture, v. 59, p. 78-85, 2007. http://dx.doi.org/10.1016/j.compag.2007.05.003
    • (2007) Computers and Electronics In Agriculture , vol.59 , pp. 78-85
    • Movagharnejad, K.1    Nikzad, M.2
  • 16
    • 84950445313 scopus 로고
    • Cross-Validation of Regression Models
    • PICARD, R. R.; COOK, R. D. Cross-Validation of Regression Models. Journal American Statistical Association, v. 79, n. 387, p. 575-583, 1984. http://dx.doi.org/10.1080/01621459.1984.10478083
    • (1984) Journal American Statistical Association , vol.79 , Issue.387 , pp. 575-583
    • Picard, R.R.1    Cook, R.D.2
  • 17
    • 38849140374 scopus 로고    scopus 로고
    • Estimation of Moisture Ratio of a Mushroom Undergoing Microwave-vacuum Drying Using Artificial Neural Network and Regression Models
    • POONNOY, P.; TANSAKUL, A.; CHINNAN, A. Estimation of Moisture Ratio of a Mushroom Undergoing Microwave-vacuum Drying Using Artificial Neural Network and Regression Models. Chemical Product and Process Modeling, v. 2, n. 3, p. 1-13, 2007. http://dx.doi.org/10.2202/1934-2659.1057
    • (2007) Chemical Product and Process Modeling , vol.2 , Issue.3 , pp. 1-13
    • Poonnoy, P.1    Tansakul, A.2    Chinnan, A.3
  • 18
    • 33747283078 scopus 로고    scopus 로고
    • BASIC-A genetic algorithm for engineering problems solution
    • SHOPOVA, E.; VAKLIEVA-BANCHEVA, N. BASIC-A genetic algorithm for engineering problems solution. Computers and Chemical Engineering, v. 30, p. 1293-1309, 2006. http://dx.doi.org/10.1016/j.compchemeng.2006.03.003
    • (2006) Computers and Chemical Engineering , vol.30 , pp. 1293-1309
    • Shopova, E.1    Vaklieva-Bancheva, N.2
  • 19
    • 64949176652 scopus 로고    scopus 로고
    • Neural network approach for food temperature prediction during solar drying
    • TRIPATHY, P. P.; KUMAR, S. Neural network approach for food temperature prediction during solar drying. International Journal of Thermal Sciences, v. 48, p. 1452-1459, 2009. http://dx.doi.org/10.1016/j.ijthermalsci.2008.11.014
    • (2009) International Journal of Thermal Sciences , vol.48 , pp. 1452-1459
    • Tripathy, P.P.1    Kumar, S.2
  • 20
    • 80053566655 scopus 로고    scopus 로고
    • Characteristics of Convective Drying of Pepino Fruit (Solanum muricatum Ait.): Application of Weibull Distribution
    • URIBE, E. et al. Characteristics of Convective Drying of Pepino Fruit (Solanum muricatum Ait.): Application of Weibull Distribution. Food Bioprocess Technology, v. 4, n. 8, p. 1349-1356, 2011. http://dx.doi.org/10.1007/s11947-009-0230-y
    • (2011) Food Bioprocess Technology , vol.4 , Issue.8 , pp. 1349-1356
    • Uribe, E.1
  • 21
    • 67649484374 scopus 로고    scopus 로고
    • Effect of air-drying temperature on physico-chemical properties, antioxidant capacity, colour and total phenolic content of red pepper (Capsicum annuum, L. var. Hungarian)
    • VEGAG-ÁLVEZ, A. et al. Effect of air-drying temperature on physico-chemical properties, antioxidant capacity, colour and total phenolic content of red pepper (Capsicum annuum, L. var. Hungarian). Food Chemistry, v. 117, p. 647-653, 2009. http://dx.doi.org/10.1016/j. foodchem.2009.04.066
    • (2009) Food Chemistry , vol.117 , pp. 647-653
    • Vegag-Álvez, A.1
  • 22
    • 1442286071 scopus 로고    scopus 로고
    • Influence of airflow velocity on kinetics of convection apple drying
    • VELIĆ, D. et al. Influence of airflow velocity on kinetics of convection apple drying. Journal of Food Engineering, v. 64, p. 97-102, 2004. http://dx.doi.org/10.1016/j.jfoodeng.2003.09.016
    • (2004) Journal of Food Engineering , vol.64 , pp. 97-102
    • Velić, D.1
  • 23
    • 37849045319 scopus 로고    scopus 로고
    • Use of Artificial Neural Network and Image Analysis to Predict Physical Properties of Osmotically Dehydrated Pumpkin
    • ZENOOZIAN, S. et al. Use of Artificial Neural Network and Image Analysis to Predict Physical Properties of Osmotically Dehydrated Pumpkin. Drying Technology, v. 26, p. 132-144, 2008. http://dx.doi.org/10.1080/07373930701781793
    • (2008) Drying Technology , vol.26 , pp. 132-144
    • Zenoozian, S.1
  • 24
    • 67649390743 scopus 로고    scopus 로고
    • On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers
    • ZOLLANVARI, A.; BRAG-ANETO, U. M.; DOUGHERTY, E. R. On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers. Pattern Recognition, v. 42, p. 2705-2723, 2009. http://dx.doi.org/10.1016/j.patcog.2009.05.003
    • (2009) Pattern Recognition , vol.42 , pp. 2705-2723
    • Zollanvari, A.1    Brag-Aneto, U.M.2    Dougherty, E.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.