메뉴 건너뛰기




Volumn 50, Issue 7, 2011, Pages 4050-4056

Using a multilayer perceptron network for thermal conductivity prediction of aqueous electrolyte solutions

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE METHODS; AQUEOUS ELECTROLYTE SOLUTIONS; AQUEOUS SOLUTIONS; ARTIFICIAL NEURAL NETWORK; ELECTROLYTE SOLUTIONS; EXPERIMENTAL VALUES; MULTI LAYER PERCEPTRON; MULTI-LAYER PERCEPTRON NETWORKS; NETWORK TRAINING; NUMBER OF ELECTRONS;

EID: 79953331748     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie101513z     Document Type: Article
Times cited : (28)

References (40)
  • 2
    • 0034725201 scopus 로고    scopus 로고
    • 2 solutions in the temperature range 293-473 K and the pressure range 0.1-100 MPa
    • DOI 10.1016/S0378-3812(00)00349-6, PII S0378381200003496
    • 2 solutions in the temperature range 293-473 K and the pressure range 0.1-100 MPa Fluid Phase Equilib. 2000, 171, 243-252 (Pubitemid 32472199)
    • (2000) Fluid Phase Equilibria , vol.171 , Issue.1-2 , pp. 243-252
    • Abdulagatov, I.M.1    Magomedov, U.B.2
  • 6
    • 0039556744 scopus 로고
    • Thermal Conductivity of Aqueous Solutions of Nitrate Salts
    • El'darov, V. S. Thermal Conductivity of Aqueous Solutions of Nitrate Salts Russ. J. Phys. Chem. 1986, 60, 603-605
    • (1986) Russ. J. Phys. Chem. , vol.60 , pp. 603-605
    • El'Darov, V.S.1
  • 11
    • 2642557840 scopus 로고
    • Thermal Conductivity of Aqueous Salt, Acid, and Alkali Solutions
    • Vargaftik, N. B.; Os'minin, Yu. P. Thermal Conductivity of Aqueous Salt, Acid, and Alkali Solutions Teploenergetika 1956, 7, 15-16
    • (1956) Teploenergetika , vol.7 , pp. 15-16
    • Vargaftik, N.B.1    Os'Minin, Yu.P.2
  • 13
    • 84980118753 scopus 로고
    • The Heat Conductivity of Aqueous Solutions of Strong Electrolytes
    • Riedel, L. The Heat Conductivity of Aqueous Solutions of Strong Electrolytes Chem. Eng. Technol. 1951, 23, 59-64
    • (1951) Chem. Eng. Technol. , vol.23 , pp. 59-64
    • Riedel, L.1
  • 14
    • 84917802459 scopus 로고
    • Some invariant quantities in the heat-conduction and viscosity theory
    • Predvoditelev, A. S. Some invariant quantities in the heat-conduction and viscosity theory Zh. Fiz. Khim. 1948, 22 (3) 339-348
    • (1948) Zh. Fiz. Khim. , vol.22 , Issue.3 , pp. 339-348
    • Predvoditelev, A.S.1
  • 15
    • 0007144239 scopus 로고
    • Thermal Conductivity of Aqueous Solutions of Salts, Acids and Alkalies
    • Vargaftik, N. B.; Os'minin, Yu. P. Thermal Conductivity of Aqueous Solutions of Salts, Acids and Alkalies Teploenergetika 1956, 3 (7) 11-16
    • (1956) Teploenergetika , vol.3 , Issue.7 , pp. 11-16
    • Vargaftik, N.B.1    Os'Minin, Yu.P.2
  • 17
    • 79953329281 scopus 로고
    • Report No. 64-21; Department of Engineering, University of California Los Angeles: Los Angeles, CA, USA, May.
    • Unterberg, W. Thermophysical Propertis of Aqueous Sodium Chloride Solutions; Report No. 64-21; Department of Engineering, University of California Los Angeles: Los Angeles, CA, USA, May 1964.
    • (1964) Thermophysical Propertis of Aqueous Sodium Chloride Solutions
    • Unterberg, W.1
  • 18
    • 0014893817 scopus 로고
    • Physical properties of sea water solutions: Thermal conductivity
    • Jamieson, D. T.; Tudhope, J. S. Physical properties of sea water solutions: thermal conductivity Desalination 1970, 8 (3) 393-401
    • (1970) Desalination , vol.8 , Issue.3 , pp. 393-401
    • Jamieson, D.T.1    Tudhope, J.S.2
  • 19
    • 62749159467 scopus 로고    scopus 로고
    • Estimation of thermal conductivity of pure gases by using artificial neural networks
    • Eslamloueyan, R.; Khademi, M. H. Estimation of thermal conductivity of pure gases by using artificial neural networks Int. J. Therm. Sci. 2009, 48, 1094-1101
    • (2009) Int. J. Therm. Sci. , vol.48 , pp. 1094-1101
    • Eslamloueyan, R.1    Khademi, M.H.2
  • 20
    • 65249115747 scopus 로고    scopus 로고
    • Using artificial neural networks for estimation of thermal conductivity of binary gaseous mixtures
    • Eslamloueyan, R.; Khademi, M. H. Using artificial neural networks for estimation of thermal conductivity of binary gaseous mixtures J. Chem. Eng. Data 2009, 54, 922-932
    • (2009) J. Chem. Eng. Data , vol.54 , pp. 922-932
    • Eslamloueyan, R.1    Khademi, M.H.2
  • 21
    • 0035272647 scopus 로고    scopus 로고
    • Prediction of Surface Tension, Viscosity, and Thermal Conductivity for Common Organic Solvents Using Quantitative Structure-Property Relationships
    • Kauffman, G. W.; Jurs, P. C. Prediction of Surface Tension, Viscosity, and Thermal Conductivity for Common Organic Solvents Using Quantitative Structure-Property Relationships J. Chem. Inf. Comput. Sci. 2001, 41, 408-418
    • (2001) J. Chem. Inf. Comput. Sci. , vol.41 , pp. 408-418
    • Kauffman, G.W.1    Jurs, P.C.2
  • 22
    • 0038367721 scopus 로고    scopus 로고
    • Using neural networks to predict thermal conductivity of food as a function of moisture content, temperature and apparent porosity
    • DOI 10.1016/S0963-9969(03)00012-7
    • Sablani, S. S.; Shafiur, R. M. Using neural networks to predict thermal conductivity of food as a function of moisture content, temperature, and apparent porosity Food Res. Int. 2003, 36, 617-623 (Pubitemid 36579910)
    • (2003) Food Research International , vol.36 , Issue.6 , pp. 617-623
    • Sablani, S.S.1    Rahman, M.S.2
  • 23
    • 64649084798 scopus 로고    scopus 로고
    • Prediction of thermal conductivity of ethylene glycol-water solutions by using artificial neural networks
    • Kurt, H.; Kayfeci, M. Prediction of thermal conductivity of ethylene glycol-water solutions by using artificial neural networks Appl. Energy 2009, 86, 2244-2248
    • (2009) Appl. Energy , vol.86 , pp. 2244-2248
    • Kurt, H.1    Kayfeci, M.2
  • 24
    • 17644376604 scopus 로고    scopus 로고
    • Characterization of basic properties for pure substances and petroleum fractions by neural network
    • DOI 10.1016/j.fluid.2005.02.002, PII S0378381205000142
    • Boozarjomehri, R.; Abdolahi, F.; Moosavian, M. A. Characterization of basic properties for pure substances and petroleum fractions by neural network Fluid Phase Equilib. 2005, 231, 188-196 (Pubitemid 40572719)
    • (2005) Fluid Phase Equilibria , vol.231 , Issue.2 , pp. 188-196
    • Boozarjomehry, R.B.1    Abdolahi, F.2    Moosavian, M.A.3
  • 25
    • 0024861871 scopus 로고
    • Mathematics of control
    • Cybenco, G. V. Mathematics of control Signals Syst. 1989, 2, 303-314
    • (1989) Signals Syst. , vol.2 , pp. 303-314
    • Cybenco, G.V.1
  • 26
    • 0032681042 scopus 로고    scopus 로고
    • 2 Solutions in the Temperature Range between 293 and 473 K at Pressures up to 100 MPa
    • 2 Solutions in the Temperature Range Between 293 and 473 K at Pressures up to 100 MPa Int. J. Thermophys. 1999, 20 (1) 187-196
    • (1999) Int. J. Thermophys. , vol.20 , Issue.1 , pp. 187-196
    • Abdulagatov, I.M.1    Magomedov, U.B.2
  • 28
    • 0035284976 scopus 로고    scopus 로고
    • 1
    • DOI 10.1023/A:1005223415475
    • Abdulagatov, I. M.; Magomedov, U. B. Thermal Conductivity of Aqueous KI and KBr Solutions at High Temperatures and High Pressures J. Solution Chem. 2001, 30 (3) 223-235 (Pubitemid 33381696)
    • (2001) Journal of Solution Chemistry , vol.30 , Issue.3 , pp. 223-235
    • Abdulagatov, I.M.1    Magomedov, U.B.2
  • 29
    • 0007120417 scopus 로고
    • Thermal Conductivity of Aqueous Solutions of NaCl and KCl at High Pressures
    • Abdulagatov, I. M.; Magomedov, U. B. Thermal Conductivity of Aqueous Solutions of NaCl and KCl at High Pressures Int. J. Thermophys. 1994, 15 (3) 401-413
    • (1994) Int. J. Thermophys. , vol.15 , Issue.3 , pp. 401-413
    • Abdulagatov, I.M.1    Magomedov, U.B.2
  • 32
    • 33645501396 scopus 로고    scopus 로고
    • 2 Solutions at High Temperatures and High Pressures
    • 2 Solutions at High Temperatures and High Pressures J. Chem. Eng. Data 2006, 51, 510-517
    • (2006) J. Chem. Eng. Data , vol.51 , pp. 510-517
    • Akhmedova-Azizova, L.A.1
  • 33
    • 34250753151 scopus 로고
    • A method for the solution of certain problems in least squares
    • Levenberg, K. A method for the solution of certain problems in least squares SIAM J. Numer. Anal. 1944, 16, 588-604
    • (1944) SIAM J. Numer. Anal. , vol.16 , pp. 588-604
    • Levenberg, K.1
  • 34
    • 0000169232 scopus 로고
    • An algorithm for least-squares estimation of nonlinear parameters
    • Marquardt, D. An algorithm for least-squares estimation of nonlinear parameters SIAM J. Appl. Math. 1963, 11, 431-441
    • (1963) SIAM J. Appl. Math. , vol.11 , pp. 431-441
    • Marquardt, D.1
  • 35
    • 0028543366 scopus 로고
    • Training Feedforward Networks with the Marquardt Algorithm
    • Hagan, M. T.; Menhaj, M. Training Feedforward Networks with the Marquardt Algorithm IEEE Trans. Neural Networks. 1994, 5, 989-993
    • (1994) IEEE Trans. Neural Networks. , vol.5 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.2
  • 37
    • 0033216696 scopus 로고    scopus 로고
    • Training neural networks for pressure swing adsorption processes
    • Sundaram, N. Training neural networks for pressure swing adsorption processes Ind. Eng. Chem. Res. 1999, 38 (11) 4449-4457
    • (1999) Ind. Eng. Chem. Res. , vol.38 , Issue.11 , pp. 4449-4457
    • Sundaram, N.1
  • 39
    • 24944443819 scopus 로고    scopus 로고
    • 4solutions at temperatures from 298 to 575 K and at pressures up to 30 MPa
    • DOI 10.1007/s10765-005-5567-5
    • 4 Solutions at Temperatures from 298 to 575 K and at Pressures up to 30 MPa Int. J. Thermophys. 2005, 26 (3) 593-635 (Pubitemid 41314623)
    • (2005) International Journal of Thermophysics , vol.26 , Issue.3 , pp. 593-635
    • Abdulagatov, I.M.1    Azizov, N.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.