메뉴 건너뛰기




Volumn 39, Issue 6, 1999, Pages 1027-1036

Hierarchical Neural Network Modeling for Infrared Spectra Interpretation of Modified Starches

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0000479683     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci990442y     Document Type: Article
Times cited : (11)

References (34)
  • 1
    • 84943274699 scopus 로고
    • A Direct Adaptive Method for Faster Backpropagation Learning: The RPROP Algorithm
    • San Francisco, 1993; IEEE: Piscataway, NJ
    • Riedmiller, M.; Braun, H. A Direct Adaptive Method for Faster Backpropagation Learning: the RPROP Algorithm. Proceedings of the IEEE International Conference on Neural Networks, San Francisco, 1993; IEEE: Piscataway, NJ, 1993; pp 586-591.
    • (1993) Proceedings of the IEEE International Conference on Neural Networks , pp. 586-591
    • Riedmiller, M.1    Braun, H.2
  • 2
    • 0001318043 scopus 로고
    • Classification of Green Coffees by FT-IR Analysis of Dry Extract
    • Dupuy, N.; Huvenne, J. P.; Duponchel, L.; Legrand, P. Classification of Green Coffees by FT-IR Analysis of Dry Extract. Appl. Spectrosc. 1995, 49, 580-585.
    • (1995) Appl. Spectrosc. , vol.49 , pp. 580-585
    • Dupuy, N.1    Huvenne, J.P.2    Duponchel, L.3    Legrand, P.4
  • 4
    • 0032026936 scopus 로고    scopus 로고
    • Identification of Modified Starches Using Kohonen Mapping of Infrared Spectra
    • Dolmatova, L.; Ruckebusch, C.; Dupuy, N.; Huvenne, J. P.; Legrand, P. Identification of Modified Starches Using Kohonen Mapping of Infrared Spectra. Appl. Spectrosc. 1998, 52, 329-338.
    • (1998) Appl. Spectrosc. , vol.52 , pp. 329-338
    • Dolmatova, L.1    Ruckebusch, C.2    Dupuy, N.3    Huvenne, J.P.4    Legrand, P.5
  • 5
    • 0042553279 scopus 로고
    • Smoothing and Differentiation of Data by Simplified Least Squares Procedures
    • Savitsky, A.; Golay, M. J. E. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. Anal. Chem. 1964, 36, 1627-1679.
    • (1964) Anal. Chem. , vol.36 , pp. 1627-1679
    • Savitsky, A.1    Golay, M.J.E.2
  • 6
    • 0029591568 scopus 로고
    • Shortrange structure in (partially) crystalline potato starch determined with attenuated total reflectance Fourier-transform IR spectroscopy
    • Van Soest, J. G.; Tournois, H.; Dewit, D.; Vliegenthar, J. F. G. Shortrange structure in (partially) crystalline potato starch determined with attenuated total reflectance Fourier-transform IR spectroscopy. Carbohydr. Res. 1995, 279, 201-214.
    • (1995) Carbohydr. Res. , vol.279 , pp. 201-214
    • Van Soest, J.G.1    Tournois, H.2    Dewit, D.3    Vliegenthar, J.F.G.4
  • 7
    • 0343017182 scopus 로고
    • Investigation of infrared spectra-structure correlation using Kohonen and counterpropagation neural networks
    • Novic, M.; Zupan, J. Investigation of infrared spectra-structure correlation using Kohonen and counterpropagation neural networks. J. Chem. Inf. Comput. Sci. 1995, 35, 454-466.
    • (1995) J. Chem. Inf. Comput. Sci. , vol.35 , pp. 454-466
    • Novic, M.1    Zupan, J.2
  • 10
    • 0001321136 scopus 로고
    • On the representation of continuous function of many variables by superposition of continuous functions of one variable and addition
    • Kolmogorov, A. N. On the representation of continuous function of many variables by superposition of continuous functions of one variable and addition. Dokl. Akad. Nauk SSR 1957, 114, 953-956. English translation: Math. Soc. Transl. 1963, 28, 55-59.
    • (1957) Dokl. Akad. Nauk SSR , vol.114 , pp. 953-956
    • Kolmogorov, A.N.1
  • 11
    • 0043051699 scopus 로고
    • English translation
    • Kolmogorov, A. N. On the representation of continuous function of many variables by superposition of continuous functions of one variable and addition. Dokl. Akad. Nauk SSR 1957, 114, 953-956. English translation: Math. Soc. Transl. 1963, 28, 55-59.
    • (1963) Math. Soc. Transl. , vol.28 , pp. 55-59
  • 14
    • 0028466750 scopus 로고
    • Advanced Supervised Learning in Multilayer Perceptrons-from Backpropagation to Adaptive Learning Techniques
    • Riedmiller, M. Advanced Supervised Learning in Multilayer Perceptrons-from Backpropagation to Adaptive Learning Techniques. Int. J. Comput. Stand. Interfaces 1994, 16, 265-278.
    • (1994) Int. J. Comput. Stand. Interfaces , vol.16 , pp. 265-278
    • Riedmiller, M.1
  • 15
    • 0003652104 scopus 로고
    • Optimisation of the backpropagation algorithm for training multilayer perceptrons
    • Department of Physics, University of Koblenz: Koblenz, Germany
    • Schiffmann, W. Optimisation of the backpropagation algorithm for training multilayer perceptrons. Technical Report; Department of Physics, University of Koblenz: Koblenz, Germany, 1994 (ftp:// archive.cis.ohiostate.edu/pub/schiff.bp_speedup.ps.Z).
    • (1994) Technical Report
    • Schiffmann, W.1
  • 16
    • 0003421109 scopus 로고
    • Stuttgart Neural Network Simulator. User Manual (Version 4.1)
    • University of Stuttgart, IPVR: Stuttgart, Germany
    • Zell, A.; Mamier G.; Vogt, M. Stuttgart Neural Network Simulator. User Manual (Version 4.1); Report No. 6/95, University of Stuttgart, IPVR: Stuttgart, Germany, 1995.
    • (1995) Report No. 6/95
    • Zell, A.1    Mamier, G.2    Vogt, M.3
  • 17
    • 0023594787 scopus 로고
    • Learning How the World Works: Specifications for Predictive Networks in Robots and Brains
    • IEEE Press: New York
    • Werbos, P. J. Learning How the World Works: Specifications for Predictive Networks in Robots and Brains. Proceedings of the SMC Conference; IEEE Press: New York, 1987.
    • (1987) Proceedings of the SMC Conference
    • Werbos, P.J.1
  • 18
    • 0003544743 scopus 로고
    • Sofge, D., Ed.; Van Nostrand Reinhold: New York
    • White, D. In Handbook of intelligent control; Sofge, D., Ed.; Van Nostrand Reinhold: New York, 1992.
    • (1992) Handbook of Intelligent Control
    • White, D.1
  • 19
    • 0002983776 scopus 로고
    • Statistical aspects of Neural Networks
    • Barndorff-Nielsen, O. E., Jensen, J. L., Kendall, W. S., Eds.; Chapman & Hall: London
    • Ripley, B. D. Statistical aspects of Neural Networks. In Networks and Chaos-Statistical and Probabilistic Aspects; Barndorff-Nielsen, O. E., Jensen, J. L., Kendall, W. S., Eds.; Chapman & Hall: London, 1993; p 40.
    • (1993) Networks and Chaos-Statistical and Probabilistic Aspects , pp. 40
    • Ripley, B.D.1
  • 20
    • 0001838289 scopus 로고
    • A simulation study of alternatives to ordinary least squares
    • Dempster, A. P.; Shatzoff, M.; Wermuth, N. A simulation study of alternatives to ordinary least squares. J. Am. Stat. Assoc. 1977, 72, 77-91.
    • (1977) J. Am. Stat. Assoc. , vol.72 , pp. 77-91
    • Dempster, A.P.1    Shatzoff, M.2    Wermuth, N.3
  • 21
    • 0030085913 scopus 로고    scopus 로고
    • Analysis of Decision Boundaries in Linearly Combined Neural Classifiers
    • Turner, K.; Ghosh, J. Analysis of Decision Boundaries in Linearly Combined Neural Classifiers. Pattern Recognit. 1996, 29, 341-348.
    • (1996) Pattern Recognit. , vol.29 , pp. 341-348
    • Turner, K.1    Ghosh, J.2
  • 22
    • 0000939726 scopus 로고
    • A Framework for Estimating Performance Improvements in Hybrid Pattern Classifiers
    • Turner, K.; Ghosh, J. A Framework for Estimating Performance Improvements in Hybrid Pattern Classifiers. Proc. World Congr. Neural Networks 1994, 3, 220-225.
    • (1994) Proc. World Congr. Neural Networks , vol.3 , pp. 220-225
    • Turner, K.1    Ghosh, J.2
  • 23
    • 0000494468 scopus 로고
    • Synergy of Clustering Multiple Backpropagation Networks
    • Touretzky, D. S., Ed.; Morgan Kaufmann: San Mateo, CA
    • Lincoln, W. P.; Skrzypek, J. Synergy of Clustering Multiple Backpropagation Networks. In Advances in Neural Information Processing System; Touretzky, D. S., Ed.; Morgan Kaufmann: San Mateo, CA, 1990; Vol. 2, pp 650-657.
    • (1990) Advances in Neural Information Processing System , vol.2 , pp. 650-657
    • Lincoln, W.P.1    Skrzypek, J.2
  • 24
    • 0026692226 scopus 로고
    • Stacked Generalisation
    • Wolpert, D. H. Stacked Generalisation. Neural Networks 1992, 5, 241-259.
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.H.1
  • 26
    • 0000629975 scopus 로고
    • Cross-Validatory Choice and Assessment of Statistical predictions
    • Stone, M. Cross-Validatory Choice and Assessment of Statistical predictions (with discussion). J. Royal Statist. Soc. B 1974, 36, 111-147.
    • (1974) J. Royal Statist. Soc. B , vol.36 , pp. 111-147
    • Stone, M.1
  • 28
    • 26444565569 scopus 로고
    • Finding Structure in Time
    • Elman, J. L. Finding Structure in Time. Cognit. Sci. 1990, 14, 179-211.
    • (1990) Cognit. Sci. , vol.14 , pp. 179-211
    • Elman, J.L.1
  • 29
    • 0042550851 scopus 로고    scopus 로고
    • Fuzzy Finite-State Automata Can Be Deterministically Encoded into Recurrent Neural Networks
    • University of Maryland: College Park, MD
    • Omlin, C. W.; Thronber, K. K.; Giles, C. L. Fuzzy Finite-State Automata Can Be Deterministically Encoded into Recurrent Neural Networks. Technical Report CS-TR-3599; University of Maryland: College Park, MD, 1996.
    • (1996) Technical Report CS-TR-3599
    • Omlin, C.W.1    Thronber, K.K.2    Giles, C.L.3
  • 30
    • 0004230462 scopus 로고
    • Radley, J. A., Ed.; Applied Science Publishers Ltd.: London, England
    • Radley, J. A. In Starch Production Technology; Radley, J. A., Ed.; Applied Science Publishers Ltd.: London, England, 1976.
    • (1976) Starch Production Technology
    • Radley, J.A.1
  • 31
    • 84989023353 scopus 로고
    • Identification and quantification of hydroxypropylation of starch by FTIR
    • Forrest, B.; Cove, L. Identification and quantification of hydroxypropylation of starch by FTIR. Starch 1992, 44 (5), 179-183.
    • (1992) Starch , vol.44 , Issue.5 , pp. 179-183
    • Forrest, B.1    Cove, L.2
  • 32
    • 85034139331 scopus 로고    scopus 로고
    • The architecture of multimodular system with optimal quality of modeling
    • Dochev, D., Stefanuk, V., Ueno, H., Eds.; Sozopol, Bulgaria, Sep 21-22
    • Dolmatova, L. M. The architecture of multimodular system with optimal quality of modeling. Proceedings of JCKBSE'96: Second Joint Conference on Knowledge-Based Software Engineering; Dochev, D., Stefanuk, V., Ueno, H., Eds.; Sozopol, Bulgaria, Sep 21-22, 1996; pp 214-217.
    • (1996) Proceedings of JCKBSE'96: Second Joint Conference on Knowledge-Based Software Engineering , pp. 214-217
    • Dolmatova, L.M.1
  • 33
    • 0004042460 scopus 로고
    • Proben1-A set of neural network benchmark problems and benchmarking rules
    • Universitat Karlsruhe: Karlsruhe, Germany
    • Pretchel, L. Proben1-A set of neural network benchmark problems and benchmarking rules. Technical report 21/94; Universitat Karlsruhe: Karlsruhe, Germany, 1994 (ftp.ira.uka.de/pub/neuran/ proben1.tar.gz).
    • (1994) Technical Report 21/94
    • Pretchel, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.