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Volumn 22, Issue 2, 2008, Pages 106-113

Application of different training methodologies for the development of a back propagation artificial neural network retention model in ion chromatography

Author keywords

Artificial neural network; Ion chromatography; Retention modeling; Training algorithm

Indexed keywords

CHLORINE COMPOUNDS; FLUORINE COMPOUNDS; IONS; NEURAL NETWORKS; SULFUR COMPOUNDS;

EID: 53649100899     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.1096     Document Type: Article
Times cited : (14)

References (40)
  • 4
    • 1542615670 scopus 로고
    • The future of chromatography: Optimizing the separation
    • Snyder LR. The future of chromatography: optimizing the separation. Analyst 1991; 116: 1237-1244.
    • (1991) Analyst , vol.116 , pp. 1237-1244
    • Snyder, L.R.1
  • 6
    • 0008727498 scopus 로고    scopus 로고
    • The evolution from univariate to multivariate optimization methods in liquid chromatography
    • Sep
    • Lukulay PH, McGuffin VL. The evolution from univariate to multivariate optimization methods in liquid chromatography. J. Microcolumn Sep. 1996; 8: 211-224.
    • (1996) J. Microcolumn , vol.8 , pp. 211-224
    • Lukulay, P.H.1    McGuffin, V.L.2
  • 8
    • 0034665179 scopus 로고    scopus 로고
    • Optimization methods in chromatography and capillary electrophoresis
    • Siouffi AM, Phan-Tan-Luu R. Optimization methods in chromatography and capillary electrophoresis. J. Chromatogr. 2000; A 892: 75-106.
    • (2000) J. Chromatogr , vol.A 892 , pp. 75-106
    • Siouffi, A.M.1    Phan-Tan-Luu, R.2
  • 9
    • 85159510437 scopus 로고    scopus 로고
    • Torres-Lapasió JR, García-Álvarez-Coque MC. Levels in the interpretive optimisation of selectivity in high-performance liquid chromatography: a magical mystery tour. J. Chromatogr. 2006; A 1120: 308-321.
    • Torres-Lapasió JR, García-Álvarez-Coque MC. Levels in the interpretive optimisation of selectivity in high-performance liquid chromatography: a magical mystery tour. J. Chromatogr. 2006; A 1120: 308-321.
  • 10
    • 49049152778 scopus 로고
    • Use of gradient elution for rapid selection of isocratic conditions in reversed-phase high-performance liquid chromatography
    • Schoenmakers PJ, Billiet HAH, de Galan L. Use of gradient elution for rapid selection of isocratic conditions in reversed-phase high-performance liquid chromatography. J. Chromatogr. 1981; 205: 13-30.
    • (1981) J. Chromatogr , vol.205 , pp. 13-30
    • Schoenmakers, P.J.1    Billiet, H.A.H.2    de Galan, L.3
  • 11
    • 33845373548 scopus 로고
    • Prediction of precise isocratic retention data from two or more gradient elution runs. Analysis of some associated errors
    • Quarry MA, Grob RL, Snyder LR. Prediction of precise isocratic retention data from two or more gradient elution runs. Analysis of some associated errors. Anal. Chem. 1986; 58(4): 907-917.
    • (1986) Anal. Chem , vol.58 , Issue.4 , pp. 907-917
    • Quarry, M.A.1    Grob, R.L.2    Snyder, L.R.3
  • 12
    • 1642349588 scopus 로고    scopus 로고
    • Error analysis and performance of different retention models in the transference of data from/to isocratic/gradient elution
    • Vivó-Truyols G, Torres-Lapasió JR, García- Álvarez-Coque MC. Error analysis and performance of different retention models in the transference of data from/to isocratic/gradient elution. J. Chromatogr. 2003; A 1018: 169-181.
    • (2003) J. Chromatogr , vol.A 1018 , pp. 169-181
    • Vivó-Truyols, G.1    Torres-Lapasió, J.R.2    García- Álvarez-Coque, M.C.3
  • 13
    • 33745275547 scopus 로고    scopus 로고
    • Development of an ion chromatographic gradient elution retention model from isocratic elution experiments
    • Bolanča T, Cerjan-Stefanović Š, Luša M, Rogošić M, Ukić Š. Development of an ion chromatographic gradient elution retention model from isocratic elution experiments. J. Chromatogr. 2006; A 1121: 228-235.
    • (2006) J. Chromatogr , vol.A 1121 , pp. 228-235
    • Bolanča, T.1    Cerjan-Stefanović, S.2    Luša, M.3    Rogošić, M.4    Ukić, S.5
  • 14
    • 0001891876 scopus 로고
    • Anion Chromatography with low-conductivity eluents. II
    • Gjerde DT, Schmuckler G, Fritz JS. Anion Chromatography with low-conductivity eluents. II. J. Chromatogr. 1980; 187: 35-45.
    • (1980) J. Chromatogr , vol.187 , pp. 35-45
    • Gjerde, D.T.1    Schmuckler, G.2    Fritz, J.S.3
  • 15
    • 0001671862 scopus 로고
    • Computer-assisted optimization of eluent concentration and pH in ion chromatography
    • A 303: 321-330
    • Haddad PR, Cowie CE. Computer-assisted optimization of eluent concentration and pH in ion chromatography. J. Chromatogr. 1984; A 303: 321-330.
    • (1984) J. Chromatogr
    • Haddad, P.R.1    Cowie, C.E.2
  • 16
    • 0021155144 scopus 로고
    • Optimization of anion separation by nonsuppressed ion chromatography
    • Jenke DR, Pagenkopf GK. Optimization of anion separation by nonsuppressed ion chromatography. Anal. Chem. 1984; 56: 85-88.
    • (1984) Anal. Chem , vol.56 , pp. 85-88
    • Jenke, D.R.1    Pagenkopf, G.K.2
  • 17
    • 0021120686 scopus 로고
    • Models for prediction of retention in nonsuppressed ion chromatography
    • Jenke DR, Pagenkopf GK. Models for prediction of retention in nonsuppressed ion chromatography. Anal. Chem. 1984; 56: 88-91.
    • (1984) Anal. Chem , vol.56 , pp. 88-91
    • Jenke, D.R.1    Pagenkopf, G.K.2
  • 18
    • 0000312014 scopus 로고
    • Modeling of analyte behavior in indirect photometric chromatography
    • Jenke DR. Modeling of analyte behavior in indirect photometric chromatography. Anal. Chem. 1984; 56: 2674-2681.
    • (1984) Anal. Chem , vol.56 , pp. 2674-2681
    • Jenke, D.R.1
  • 19
    • 0000515542 scopus 로고
    • Ion chromatographic elution behaviour and prediction of the retention of inorganic monovalent anions using a phosphate eluent
    • Maruo M, Hirayama N, Kuwamoto T. Ion chromatographic elution behaviour and prediction of the retention of inorganic monovalent anions using a phosphate eluent. J. Chromatogr. 1989; 481: 315-322.
    • (1989) J. Chromatogr , vol.481 , pp. 315-322
    • Maruo, M.1    Hirayama, N.2    Kuwamoto, T.3
  • 20
    • 0000539063 scopus 로고
    • Prediction of retention characteristics of multiprotic anions in ion chromatography
    • Jenke DR. Prediction of retention characteristics of multiprotic anions in ion chromatography. Anal. Chem. 1994; 66: 4466-4470.
    • (1994) Anal. Chem , vol.66 , pp. 4466-4470
    • Jenke, D.R.1
  • 21
    • 0000994383 scopus 로고
    • Prediction of retention for halide anions and oxanions in suppressed ion chromatography using multiple species eluent
    • Hajos P, Horvath O, Denke V. Prediction of retention for halide anions and oxanions in suppressed ion chromatography using multiple species eluent. Anal. Chem. 1995; 67: 434-441.
    • (1995) Anal. Chem , vol.67 , pp. 434-441
    • Hajos, P.1    Horvath, O.2    Denke, V.3
  • 22
    • 0035854351 scopus 로고    scopus 로고
    • Computer simulation of ion chromatography separation: An algorithm enabling continous monitoring of anion distribution on an ion-exchange chromatography column
    • Novií Mi, Zupan J, Novič Ma. Computer simulation of ion chromatography separation: an algorithm enabling continous monitoring of anion distribution on an ion-exchange chromatography column. J. Chromatogr. 2001; A 922: 1-11.
    • (2001) J. Chromatogr , vol.A 922 , pp. 1-11
    • Mi, N.1    Zupan, J.2    Ma, N.3
  • 23
    • 0035937015 scopus 로고    scopus 로고
    • Prediction of retention times for anions in linear gradient elution ion chromatography with hydroxide eluents using artificial neural networks
    • Madden JE, Avdalovic N, Haddad PR, Havel J. Prediction of retention times for anions in linear gradient elution ion chromatography with hydroxide eluents using artificial neural networks. J. Chromatogr. 2001; A 910: 173-179.
    • (2001) J. Chromatogr , vol.A 910 , pp. 173-179
    • Madden, J.E.1    Avdalovic, N.2    Haddad, P.R.3    Havel, J.4
  • 24
    • 0032443758 scopus 로고    scopus 로고
    • Critical comparison of retention models for optimisation of the separation of anions in ion chromatography: I. Non-suppressed anion chromatography using phthalate eluents and three different stationary phases
    • Madden JE, Haddad PR. Critical comparison of retention models for optimisation of the separation of anions in ion chromatography: I. Non-suppressed anion chromatography using phthalate eluents and three different stationary phases. J. Chromatogr. 1998; A 820: 65-80.
    • (1998) J. Chromatogr , vol.A 820 , pp. 65-80
    • Madden, J.E.1    Haddad, P.R.2
  • 25
    • 0032767663 scopus 로고    scopus 로고
    • Critical comparison of retention models for the optimisation of the separation of anions in ion chromatography: II. Suppressed anion chromatography using carbonate eluents
    • Madden JE, Haddad PR. Critical comparison of retention models for the optimisation of the separation of anions in ion chromatography: II. Suppressed anion chromatography using carbonate eluents. J. Chromatogr. 1999; A 850: 29-41.
    • (1999) J. Chromatogr , vol.A 850 , pp. 29-41
    • Madden, J.E.1    Haddad, P.R.2
  • 26
    • 0032917505 scopus 로고    scopus 로고
    • Critical comparison of retention models for optimisation of the separation of anions in ion chromatography: III. Anion chromatography using hydroxide eluents on a Dionex AS11 stationary phase
    • Madden JE, Avdalovic N, Jackson PE, Haddad PR. Critical comparison of retention models for optimisation of the separation of anions in ion chromatography: III. Anion chromatography using hydroxide eluents on a Dionex AS11 stationary phase. J. Chromatogr. 1999; A 83: 65-74.
    • (1999) J. Chromatogr , vol.A 83 , pp. 65-74
    • Madden, J.E.1    Avdalovic, N.2    Jackson, P.E.3    Haddad, P.R.4
  • 27
    • 24344491509 scopus 로고    scopus 로고
    • Application of artificial neural networks for gradient elution retention modelling in ion chromatography
    • Bolanča T, Cerjan-Stefanovic Š, Regelja M, Regelja H, Lončarić S. Application of artificial neural networks for gradient elution retention modelling in ion chromatography. J.Sep. Sci. 2005; 28: 1427-1433.
    • (2005) J.Sep. Sci , vol.28 , pp. 1427-1433
    • Bolanča, T.1    Cerjan-Stefanovic, S.2    Regelja, M.3    Regelja, H.4    Lončarić, S.5
  • 28
    • 22244491623 scopus 로고    scopus 로고
    • Development of an inorganic cations retention model in ion chromatography by means of artificial neural networks with different two phase training algorithms
    • Bolanča T, Cerjan-Stefanović Š, Regelja M, Regelja H, Lončarić S. Development of an inorganic cations retention model in ion chromatography by means of artificial neural networks with different two phase training algorithms. J. Chromatogr. 2005; A 1085: 74-85.
    • (2005) J. Chromatogr , vol.A 1085 , pp. 74-85
    • Bolanča, T.1    Cerjan-Stefanović, S.2    Regelja, M.3    Regelja, H.4    Lončarić, S.5
  • 29
    • 0032989420 scopus 로고    scopus 로고
    • Prediction of retention times for anions in ion chromatography using artificial neural networks
    • Havel J, Madden JE, Haddad PR. Prediction of retention times for anions in ion chromatography using artificial neural networks. Chromatographia 1999; 49: 481-488.
    • (1999) Chromatographia , vol.49 , pp. 481-488
    • Havel, J.1    Madden, J.E.2    Haddad, P.R.3
  • 31
    • 0029733756 scopus 로고    scopus 로고
    • Three methods of training multi-layer perceptrons to model a robot sensor
    • Pham DT, Sagiroglu S. Three methods of training multi-layer perceptrons to model a robot sensor. J. Eng. Manufacture 1996; 210: 69-76.
    • (1996) J. Eng. Manufacture , vol.210 , pp. 69-76
    • Pham, D.T.1    Sagiroglu, S.2
  • 32
    • 0028791125 scopus 로고
    • Efficacy of modified backpropagation and optimisation methods on a real-world medical problem
    • Alpsan D, Towsey M, Ozdamar O, Tsoi AC, Ghista DN. Efficacy of modified backpropagation and optimisation methods on a real-world medical problem. Neural Netw. 1995; 8(6): 945-962.
    • (1995) Neural Netw , vol.8 , Issue.6 , pp. 945-962
    • Alpsan, D.1    Towsey, M.2    Ozdamar, O.3    Tsoi, A.C.4    Ghista, D.N.5
  • 33
    • 0031342294 scopus 로고    scopus 로고
    • Artificial neural networks for the diagnosis of coronary artery disease
    • Tang KW, Pingle G, Srikant G. Artificial neural networks for the diagnosis of coronary artery disease. J. Intell Syst. 1997; 7: 307-338.
    • (1997) J. Intell Syst , vol.7 , pp. 307-338
    • Tang, K.W.1    Pingle, G.2    Srikant, G.3
  • 34
    • 0345628005 scopus 로고    scopus 로고
    • Three methods to speed up the training of feedforward and feedback perceptrons
    • Stager F, Agarwal M. Three methods to speed up the training of feedforward and feedback perceptrons. Neural Netw. 1997; 10(8): 1435-1443.
    • (1997) Neural Netw , vol.10 , Issue.8 , pp. 1435-1443
    • Stager, F.1    Agarwal, M.2
  • 35
    • 0031649938 scopus 로고    scopus 로고
    • A decision tree of neural networks for classifying images of wood veneer
    • Drake R, Packianather MS. A decision tree of neural networks for classifying images of wood veneer. Int. J. Adv. Manuf. Technol. 1998; 14: 280-285.
    • (1998) Int. J. Adv. Manuf. Technol , vol.14 , pp. 280-285
    • Drake, R.1    Packianather, M.S.2
  • 36
    • 84974751534 scopus 로고
    • On the use of quasi-newton based training of a feed forward neural network for time series forecasting
    • Devika P, Achenie L On the use of quasi-newton based training of a feed forward neural network for time series forecasting.J. Intell. Fuzzy Syst. 1995; 3: 287-299.
    • (1995) J. Intell. Fuzzy Syst , vol.3 , pp. 287-299
    • Devika, P.1    Achenie, L.2
  • 40
    • 0028543366 scopus 로고
    • Training feedforward networks with the Marquardt algorithm
    • Hagan MT, Menhaj MB. Training feedforward networks with the Marquardt algorithm. IEEE Trans. Neural Netw. 1994; 5(6): 989-993.
    • (1994) IEEE Trans. Neural Netw , vol.5 , Issue.6 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.