메뉴 건너뛰기




Volumn 102, Issue , 2014, Pages 1-9

Prediction of red plum juice permeate flux during membrane processing with ANN optimized using RSM

Author keywords

Artificial neural networks; Membrane processing; Red plum juice; Response surface methodology

Indexed keywords

CLARIFIERS; FORECASTING; MEAN SQUARE ERROR; MEMBRANES; MOMENTUM; NEURAL NETWORKS; OPTIMIZATION; SURFACE PROPERTIES; TOPOLOGY;

EID: 84975894300     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2013.12.017     Document Type: Article
Times cited : (60)

References (29)
  • 1
    • 79956090984 scopus 로고    scopus 로고
    • Optimization of an artificial neural network topology for predicting drying kinetics of carrot cubes using combined response surface and genetic algorithm
    • Aghbashlo M., Kianmehr M.H., Nazghelichi T., Rafiee S. Optimization of an artificial neural network topology for predicting drying kinetics of carrot cubes using combined response surface and genetic algorithm. Drying Technol. 2011, 29:770-779.
    • (2011) Drying Technol. , vol.29 , pp. 770-779
    • Aghbashlo, M.1    Kianmehr, M.H.2    Nazghelichi, T.3    Rafiee, S.4
  • 2
    • 12344318181 scopus 로고    scopus 로고
    • Modeling of flux decline in cross-flow microfiltration using neural networks: the case of phosphate removal
    • Aydiner C., Demir I., Yildiz E. Modeling of flux decline in cross-flow microfiltration using neural networks: the case of phosphate removal. J. Membr. Sci. 2005, 248:53-62.
    • (2005) J. Membr. Sci. , vol.248 , pp. 53-62
    • Aydiner, C.1    Demir, I.2    Yildiz, E.3
  • 3
    • 33645931361 scopus 로고    scopus 로고
    • Prediction of permeate flux decline in cross-flow membrane filtration of colloidal suspension: a radial basis function neural network approach
    • Chen H., Kim A.S. Prediction of permeate flux decline in cross-flow membrane filtration of colloidal suspension: a radial basis function neural network approach. Desalination 2006, 192:415-428.
    • (2006) Desalination , vol.192 , pp. 415-428
    • Chen, H.1    Kim, A.S.2
  • 4
    • 84859647076 scopus 로고    scopus 로고
    • Optimization of total phenolic content extracted from Garcinia mangostana Linn. hull using response surface methodology versus artificial neural network
    • Cheok C.Y., Chin N.L., Yusof Y.A., Talib R.A., Law C.L. Optimization of total phenolic content extracted from Garcinia mangostana Linn. hull using response surface methodology versus artificial neural network. Indust. Crops Prod. 2012, 40:247-253.
    • (2012) Indust. Crops Prod. , vol.40 , pp. 247-253
    • Cheok, C.Y.1    Chin, N.L.2    Yusof, Y.A.3    Talib, R.A.4    Law, C.L.5
  • 5
    • 23844451812 scopus 로고    scopus 로고
    • Antioxidants: not only reason to eat fruit and vegetables
    • Collins A.R., Harrington V. Antioxidants: not only reason to eat fruit and vegetables. Phytochem. Rev. 2002, 1:167-174.
    • (2002) Phytochem. Rev. , vol.1 , pp. 167-174
    • Collins, A.R.1    Harrington, V.2
  • 6
    • 33751174542 scopus 로고    scopus 로고
    • Reduction and control of flux decline in cross-flow membrane processes modeled by artificial neural networks
    • Curcio S., Calabro V., Iorio G. Reduction and control of flux decline in cross-flow membrane processes modeled by artificial neural networks. J. Membr. Sci. 2006, 286:125-132.
    • (2006) J. Membr. Sci. , vol.286 , pp. 125-132
    • Curcio, S.1    Calabro, V.2    Iorio, G.3
  • 7
    • 83555173623 scopus 로고    scopus 로고
    • Optimization of extraction parameters of bioactive components from defatted marigol (Tagetes erecta L.) residue using response surface methodology
    • Gong Y., Hou Z., Gao Y., Xue Y., Liu X., Liu G. Optimization of extraction parameters of bioactive components from defatted marigol (Tagetes erecta L.) residue using response surface methodology. Food Bioprod. Process. 2012, 90:9-16.
    • (2012) Food Bioprod. Process. , vol.90 , pp. 9-16
    • Gong, Y.1    Hou, Z.2    Gao, Y.3    Xue, Y.4    Liu, X.5    Liu, G.6
  • 8
    • 71549144442 scopus 로고    scopus 로고
    • Predicting the flux decline in milk cross-flow ceramic ultra filtration by artificial neural networks
    • Guadix A., Zapata J.A., Almecija M.C., Guadix E.M. Predicting the flux decline in milk cross-flow ceramic ultra filtration by artificial neural networks. Desalination 2010, 250:1118-1120.
    • (2010) Desalination , vol.250 , pp. 1118-1120
    • Guadix, A.1    Zapata, J.A.2    Almecija, M.C.3    Guadix, E.M.4
  • 9
    • 0036774226 scopus 로고    scopus 로고
    • Flavonoid antioxidants: chemistry, metabolism and structure-activity relationships
    • Heim K.E., Tagliaferro A.R., Bobilya D.J. Flavonoid antioxidants: chemistry, metabolism and structure-activity relationships. J. Nutr. Biochem. 2002, 13:572-584.
    • (2002) J. Nutr. Biochem. , vol.13 , pp. 572-584
    • Heim, K.E.1    Tagliaferro, A.R.2    Bobilya, D.J.3
  • 10
    • 0032865057 scopus 로고    scopus 로고
    • Optimization of a vehicle mixture for the transdermal delivery of melatonin using artificial neural networks and response surface method
    • Kandimalla K.K., Kanikkannan N., Singh M. Optimization of a vehicle mixture for the transdermal delivery of melatonin using artificial neural networks and response surface method. J. Controlled Release 1999, 61:71-82.
    • (1999) J. Controlled Release , vol.61 , pp. 71-82
    • Kandimalla, K.K.1    Kanikkannan, N.2    Singh, M.3
  • 11
    • 83855160866 scopus 로고    scopus 로고
    • Optimization of an air drying process for Artemisia absinthium leaves using response surface and artificial neural network models
    • Karimi F., Rafiee S., Taheri-Garavand A., Karimi M. Optimization of an air drying process for Artemisia absinthium leaves using response surface and artificial neural network models. J. Taiwan Inst. Chem. E 2012, 43:29-39.
    • (2012) J. Taiwan Inst. Chem. E , vol.43 , pp. 29-39
    • Karimi, F.1    Rafiee, S.2    Taheri-Garavand, A.3    Karimi, M.4
  • 12
    • 84863952623 scopus 로고    scopus 로고
    • Application of artificial neural network in predicting the extraction yield of essential oils of Diplotaenia cachrydifolia by supercritical fluid extraction
    • Khajeh M., Moghaddam M.G., Shakeri M. Application of artificial neural network in predicting the extraction yield of essential oils of Diplotaenia cachrydifolia by supercritical fluid extraction. J. Supercrit. Fluid. 2012, 69:91-96.
    • (2012) J. Supercrit. Fluid. , vol.69 , pp. 91-96
    • Khajeh, M.1    Moghaddam, M.G.2    Shakeri, M.3
  • 13
    • 78650516171 scopus 로고    scopus 로고
    • Artificial neural network modeling and response surface methodology of desalination by reverse osmosis
    • Khayet M., Cojocaru C., Essalhi M. Artificial neural network modeling and response surface methodology of desalination by reverse osmosis. J. Membr. Sci. 2011, 368:202-214.
    • (2011) J. Membr. Sci. , vol.368 , pp. 202-214
    • Khayet, M.1    Cojocaru, C.2    Essalhi, M.3
  • 14
    • 44449169763 scopus 로고    scopus 로고
    • Optimization of canthaxanthin production by Dietzia natronolimnaea HS-1 from cheese whey using statistical experimental methods
    • Khodaiyan F., Razavi S.H., Mousavi S.M. Optimization of canthaxanthin production by Dietzia natronolimnaea HS-1 from cheese whey using statistical experimental methods. Biochem. Eng. J. 2008, 40:415-422.
    • (2008) Biochem. Eng. J. , vol.40 , pp. 415-422
    • Khodaiyan, F.1    Razavi, S.H.2    Mousavi, S.M.3
  • 15
    • 0037409121 scopus 로고    scopus 로고
    • Antioxidant capacity of phenolic phytochemicals from various cultivars of plums
    • Kim D.O., Jeong S.W., Lee C.Y. Antioxidant capacity of phenolic phytochemicals from various cultivars of plums. Food Chem. 2003, 81:321-326.
    • (2003) Food Chem. , vol.81 , pp. 321-326
    • Kim, D.O.1    Jeong, S.W.2    Lee, C.Y.3
  • 16
    • 77953613884 scopus 로고    scopus 로고
    • Effect of membrane property and operating conditions on phytochemical properties and permeate flux during clarification of pineapple juice
    • Laorko A., Li Z., Tongchitpakdee S., Chantachum S., Youravong W. Effect of membrane property and operating conditions on phytochemical properties and permeate flux during clarification of pineapple juice. J. Food Eng. 2010, 100:514-521.
    • (2010) J. Food Eng. , vol.100 , pp. 514-521
    • Laorko, A.1    Li, Z.2    Tongchitpakdee, S.3    Chantachum, S.4    Youravong, W.5
  • 17
    • 67650538142 scopus 로고    scopus 로고
    • Response surface optimization of an artificial neural network for predicting the size of re-assembled casein micelles
    • Madadlou A., Emam-Djomeh Z., Mousavi M.E., Ehsani M., Javanmard M., Sheehan D. Response surface optimization of an artificial neural network for predicting the size of re-assembled casein micelles. Comput. Electron. Agric. 2009, 68:216-221.
    • (2009) Comput. Electron. Agric. , vol.68 , pp. 216-221
    • Madadlou, A.1    Emam-Djomeh, Z.2    Mousavi, M.E.3    Ehsani, M.4    Javanmard, M.5    Sheehan, D.6
  • 18
    • 59649087410 scopus 로고    scopus 로고
    • Artificial neural networks in foodstuff analyses: trends and perspectives, a review
    • Marini F. Artificial neural networks in foodstuff analyses: trends and perspectives, a review. Anal. Chim. Acta 2009, 635:121-131.
    • (2009) Anal. Chim. Acta , vol.635 , pp. 121-131
    • Marini, F.1
  • 19
    • 78650516443 scopus 로고    scopus 로고
    • Optimization of an artificial neural network topology using coupled response surface methodology and genetic algorithm for fluidized bed drying
    • Nazghelichi T., Aghbashlo M., Kianmehr M.H. Optimization of an artificial neural network topology using coupled response surface methodology and genetic algorithm for fluidized bed drying. Comput. Electron. Agric. 2011, 75:84-91.
    • (2011) Comput. Electron. Agric. , vol.75 , pp. 84-91
    • Nazghelichi, T.1    Aghbashlo, M.2    Kianmehr, M.H.3
  • 20
    • 84975789816 scopus 로고    scopus 로고
    • Modeling drying kinetics of pistachio nuts with multi-layer feed-forward neural network
    • Omid M., Baharlooei A., Ahmadi H. Modeling drying kinetics of pistachio nuts with multi-layer feed-forward neural network. Drying Technol. 2009, 27:1069-1077.
    • (2009) Drying Technol. , vol.27 , pp. 1069-1077
    • Omid, M.1    Baharlooei, A.2    Ahmadi, H.3
  • 21
    • 53849126165 scopus 로고    scopus 로고
    • Neural networks and statistical techniques: a review of applications
    • Paliwal M., Kumar U.A. Neural networks and statistical techniques: a review of applications. Expert Syst. Appl. 2009, 36:2-17.
    • (2009) Expert Syst. Appl. , vol.36 , pp. 2-17
    • Paliwal, M.1    Kumar, U.A.2
  • 22
    • 20744456034 scopus 로고    scopus 로고
    • Modeling the performance of batch ultrafiltration of synthetic fruit juice and mosambi juice using artificial neural network
    • Rai P., Majumdar G.C., DasGupta S., De S. Modeling the performance of batch ultrafiltration of synthetic fruit juice and mosambi juice using artificial neural network. J. Food Eng. 2005, 71:273-281.
    • (2005) J. Food Eng. , vol.71 , pp. 273-281
    • Rai, P.1    Majumdar, G.C.2    DasGupta, S.3    De, S.4
  • 23
    • 0742305956 scopus 로고    scopus 로고
    • Application of neural networks for cross-flow milk ultrafiltration simulation
    • Razavi M.A., Mortazavi A., Mousavi M. Application of neural networks for cross-flow milk ultrafiltration simulation. Int. Dairy J. 2004, 14:69-80.
    • (2004) Int. Dairy J. , vol.14 , pp. 69-80
    • Razavi, M.A.1    Mortazavi, A.2    Mousavi, M.3
  • 24
    • 33947284882 scopus 로고    scopus 로고
    • Prediction of rheological properties of Iranian bread dough from chemical composition of wheat flour by using artificial neural networks
    • Razmi-Rad E., Ghanbarzadeh B., Mousavi S.M., Emam-Djomeh Z., Khazaei J. Prediction of rheological properties of Iranian bread dough from chemical composition of wheat flour by using artificial neural networks. J. Food Eng. 2007, 81:728-734.
    • (2007) J. Food Eng. , vol.81 , pp. 728-734
    • Razmi-Rad, E.1    Ghanbarzadeh, B.2    Mousavi, S.M.3    Emam-Djomeh, Z.4    Khazaei, J.5
  • 25
    • 84857134951 scopus 로고    scopus 로고
    • Response surface optimization and artificial neural network modeling of microwave assisted natural dye extraction from pomegranate rind
    • Sinha K., Saha P.D., Datta S. Response surface optimization and artificial neural network modeling of microwave assisted natural dye extraction from pomegranate rind. Indust. Crops Prod. 2012, 37:408-414.
    • (2012) Indust. Crops Prod. , vol.37 , pp. 408-414
    • Sinha, K.1    Saha, P.D.2    Datta, S.3
  • 26
    • 84877609179 scopus 로고    scopus 로고
    • Experimental investigation, modeling and optimization of membrane separation using artificial neural network and multi-objective optimization using genetic algorithm
    • Soleimani R., Shoushtari N.A., Mirza B., Salahi A. Experimental investigation, modeling and optimization of membrane separation using artificial neural network and multi-objective optimization using genetic algorithm. Chem. Eng. Res. Des. 2012, 10.1016/j.cherd.2012.08.004.
    • (2012) Chem. Eng. Res. Des.
    • Soleimani, R.1    Shoushtari, N.A.2    Mirza, B.3    Salahi, A.4
  • 27
    • 0142106521 scopus 로고    scopus 로고
    • A neural network approach for thermal/pressure food processing
    • Torrecilla J.S., Otero L., Sanz P.D. A neural network approach for thermal/pressure food processing. J. Food Eng. 2004, 62:89-95.
    • (2004) J. Food Eng. , vol.62 , pp. 89-95
    • Torrecilla, J.S.1    Otero, L.2    Sanz, P.D.3
  • 28
    • 16844369138 scopus 로고    scopus 로고
    • Effect of operating temperature on component distribution of West Indian cherry juice in a microfiltration system
    • Wang B.-J., Wei T.-C., Yu Z.-R. Effect of operating temperature on component distribution of West Indian cherry juice in a microfiltration system. LWT - Food Sci. Technol. 2005, 38:683-689.
    • (2005) LWT - Food Sci. Technol. , vol.38 , pp. 683-689
    • Wang, B.-J.1    Wei, T.-C.2    Yu, Z.-R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.