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Volumn 48, Issue 1-4, 2002, Pages 573-607

Evaluation of constructive neural networks with cascaded architectures

Author keywords

Cascade correlation; Constructive neural networks; Generalization; Model selection; Network training

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CORRELATION METHODS;

EID: 0036825537     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(01)00630-0     Document Type: Review
Times cited : (29)

References (51)
  • 1
    • 0004045453 scopus 로고
    • Neural Computing: An Introduction
    • IOP Publishing Ltd, Bristol, England
    • R. Beale, T. Jackson, Neural Computing: An Introduction, IOP Publishing Ltd, Bristol, England, 1990.
    • (1990)
    • Beale, R.1    Jackson, T.2
  • 2
    • 0000852384 scopus 로고
    • Regularization and complexity control in feed-forward networks
    • Technical Report: NCRG/95/022, Neural Computing Research Group, Department of Computer Science and Applied Mathematics, Aston University, Birmingham, UK
    • C.M. Bishop, Regularization and complexity control in feed-forward networks, Technical Report: NCRG/95/022, Neural Computing Research Group, Department of Computer Science and Applied Mathematics, Aston University, Birmingham, UK, 1995.
    • (1995)
    • Bishop, C.M.1
  • 3
    • 0003450384 scopus 로고
    • The Use of Feed-Forward and Recurrent Neural Networks for System Identification
    • Technical Report CUED/F-INFENG/TR158, Cambridge University Engineering Department, Cambridge, England, December
    • T.L. Burrows, M. Niranjan, The Use of Feed-Forward and Recurrent Neural Networks for System Identification, Technical Report CUED/F-INFENG/TR158, Cambridge University Engineering Department, Cambridge, England, December 1993.
    • (1993)
    • Burrows, T.L.1    Niranjan, M.2
  • 4
    • 0003720685 scopus 로고
    • Neural Networks for Optimization and Signal Processing
    • Wiley, New York
    • A. Cichocki, R. Unbehauen, Neural Networks for Optimization and Signal Processing, Wiley, New York, 1993.
    • (1993)
    • Cichocki, A.1    Unbehauen, R.2
  • 5
    • 0024861871 scopus 로고
    • Approximation by Superpositions of a Sigmoidal Function
    • G. Cybenko, Approximation by Superpositions of a Sigmoidal Function, Mathmatics of Control, Signals and Systems, Vol. 2, 1989, pp. 303-314.
    • (1989) Mathmatics of Control, Signals and Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 6
    • 0003420910 scopus 로고
    • The cascade correlation learning architecture
    • Technical Report CMU-CS-90-100, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA
    • S.E. Fahlman, C. Lebiere, The cascade correlation learning architecture, Technical Report CMU-CS-90-100, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 1990.
    • (1990)
    • Fahlman, S.E.1    Lebiere, C.2
  • 7
    • 0013221771 scopus 로고
    • Comparative Bibliography of Ontogenic Neural Networks
    • Proceedings of the International Conference on Artificial Neural Networks, ICANN'94, Sorrento, Italy, May 26-29
    • E. Fiesler, Comparative Bibliography of Ontogenic Neural Networks, Proceedings of the International Conference on Artificial Neural Networks, ICANN'94, Sorrento, Italy, May 26-29, 1994, pp. 793-796.
    • (1994) , pp. 793-796
    • Fiesler, E.1
  • 8
    • 0003770610 scopus 로고
    • Neural Networks: Algorithms, Applications and Programming Techniques
    • Addison-Wesley Publishing Company, Reading, MA
    • J. Freeman, D. Skapura, Neural Networks: Algorithms, Applications and Programming Techniques, Addison-Wesley Publishing Company, Reading, MA, 1991.
    • (1991)
    • Freeman, J.1    Skapura, D.2
  • 9
    • 0000703707 scopus 로고
    • Structural adaptation and generalization in supervised feed-forward networks
    • J. Ghosh, K. Tumer, Structural adaptation and generalization in supervised feed-forward networks, J. Artif. Neural Networks 1 (4) (1994) 431-458.
    • (1994) J. Artif. Neural Networks , vol.1 , Issue.4 , pp. 431-458
    • Ghosh, J.1    Tumer, K.2
  • 10
    • 0003413187 scopus 로고
    • Neural Networks: A Comprehensive Foundation
    • MacMillan College Publishing Company, New York
    • S. Haykin, Neural Networks: A Comprehensive Foundation, MacMillan College Publishing Company, New York, 1994.
    • (1994)
    • Haykin, S.1
  • 12
    • 84943264935 scopus 로고
    • Experimental analysis of input weight freezing in constructive neural networks
    • Proceedings of the 1993 IEEE International Conference on Neural Networks, ICNN'93, San Francisco, CA, USA, March
    • T.-Y. Kwok, D.-Y. Yeung, Experimental analysis of input weight freezing in constructive neural networks, Proceedings of the 1993 IEEE International Conference on Neural Networks, ICNN'93, San Francisco, CA, USA, March 1993, pp. 511-516.
    • (1993) , pp. 511-516
    • Kwok, T.-Y.1    Yeung, D.-Y.2
  • 13
    • 0028751388 scopus 로고
    • Constructive neural networks: Some practical considerations
    • Proceedings of the 1994 IEEE International Conference on Neural Networks, ICNN'94, Orlando, FL, USA, June
    • T.-Y. Kwok, D.-Y. Yeung, Constructive neural networks: some practical considerations, Proceedings of the 1994 IEEE International Conference on Neural Networks, ICNN'94, Orlando, FL, USA, June, 1994, pp. 198-203.
    • (1994) , pp. 198-203
    • Kwok, T.-Y.1    Yeung, D.-Y.2
  • 14
    • 0003450580 scopus 로고
    • Constructive feedforward neural networks for regression problems: A survey
    • Technical Report HKUST-CS95-43, Department of Computer Science, Hong Kong University of Science and Technology, Kowloon, Hong Kong, September
    • T.-Y. Kwok, D.-Y. Yeung, Constructive feedforward neural networks for regression problems: a survey, Technical Report HKUST-CS95-43, Department of Computer Science, Hong Kong University of Science and Technology, Kowloon, Hong Kong, September 1995.
    • (1995)
    • Kwok, T.-Y.1    Yeung, D.-Y.2
  • 15
    • 84887106795 scopus 로고    scopus 로고
    • Bayesian regularization in constructive neural networks
    • Proceedings of the 1996 International Conference on Artificial Neural Networks, ICANN'96, Bochum, Germany, July
    • T.-Y. Kwok, D.-Y. Yeung, Bayesian regularization in constructive neural networks, Proceedings of the 1996 International Conference on Artificial Neural Networks, ICANN'96, Bochum, Germany, July 1996, pp. 557-562.
    • (1996) , pp. 557-562
    • Kwok, T.-Y.1    Yeung, D.-Y.2
  • 16
    • 0031146959 scopus 로고    scopus 로고
    • Constructive algorithms for structure learning in feedforward neural networks for regression problems
    • T.-Y. Kwok, D.-Y. Yeung, Constructive algorithms for structure learning in feedforward neural networks for regression problems, IEEE Trans. Neural Networks 8 (3) (1997) 630-645.
    • (1997) IEEE Trans. Neural Networks , vol.8 , Issue.3 , pp. 630-645
    • Kwok, T.-Y.1    Yeung, D.-Y.2
  • 17
    • 0031236099 scopus 로고    scopus 로고
    • Objective functions for training new hidden units in constructive neural networks
    • T.-Y. Kwok, D.-Y. Yeung, Objective functions for training new hidden units in constructive neural networks, IEEE Trans. Neural Networks 8 (5) (1997) 1131-1148.
    • (1997) IEEE Trans. Neural Networks , vol.8 , Issue.5 , pp. 1131-1148
    • Kwok, T.-Y.1    Yeung, D.-Y.2
  • 18
    • 4243671070 scopus 로고    scopus 로고
    • Filtering ground reflection with neural networks
    • Proceedings of the Fifth European Congress on Intelligent Techniques and Soft Computing, EUFIT'97, Aachen, Germany, September 8-11
    • J. Lahnajärvi, M. Lehtokangas, J. Saarinen, Filtering ground reflection with neural networks, Proceedings of the Fifth European Congress on Intelligent Techniques and Soft Computing, EUFIT'97, Vol. 1, Aachen, Germany, September 8-11, 1997, pp. 470-474.
    • (1997) , vol.1 , pp. 470-474
    • Lahnajärvi, J.1    Lehtokangas, M.2    Saarinen, J.3
  • 19
    • 25944458657 scopus 로고    scopus 로고
    • Fast constructive methods for regression problems
    • Proceedings of the 18th IASTED International Conference on Modelling, Identification and Control, MIC'99, Innsbruck, Austria, February 15-18
    • J. Lahnajärvi, M. Lehtokangas, J. Saarinen, Fast constructive methods for regression problems, Proceedings of the 18th IASTED International Conference on Modelling, Identification and Control, MIC'99, Innsbruck, Austria, February 15-18, 1999, pp. 442-445.
    • (1999) , pp. 442-445
    • Lahnajärvi, J.1    Lehtokangas, M.2    Saarinen, J.3
  • 20
    • 4243671069 scopus 로고    scopus 로고
    • Comparison of constructive neural networks for structure learning
    • Proceedings of the 18th IASTED International Conference on Modelling, Identification and Control, MIC'99, Innsbruck, Austria, February 15-18
    • J. Lahnajärvi, M. Lehtokangas, J. Saarinen, Comparison of constructive neural networks for structure learning, Proceedings of the 18th IASTED International Conference on Modelling, Identification and Control, MIC'99, Innsbruck, Austria, February 15-18, 1999, pp. 446-449.
    • (1999) , pp. 446-449
    • Lahnajärvi, J.1    Lehtokangas, M.2    Saarinen, J.3
  • 21
    • 0033322783 scopus 로고    scopus 로고
    • Fixed cascade error - A novel constructive neural network for structure learning
    • Proceedings of the Artificial Neural Networks in Engineering Conference, ANNIE'99, St. Louis, Missouri, USA, November 7-10
    • J. Lahnajärvi, M. Lehtokangas, J. Saarinen, Fixed cascade error - a novel constructive neural network for structure learning, Proceedings of the Artificial Neural Networks in Engineering Conference, ANNIE'99, St. Louis, Missouri, USA, November 7-10, 1999, pp. 25-30.
    • (1999) , pp. 25-30
    • Lahnajärvi, J.1    Lehtokangas, M.2    Saarinen, J.3
  • 22
    • 4243789183 scopus 로고    scopus 로고
    • Constructive neural networks in structure learning
    • Licentiate Thesis, Tampere University of Technology, Signal Processing Laboratory, Tampere, Finland
    • J. Lahnajärvi, Constructive neural networks in structure learning, Licentiate Thesis, Tampere University of Technology, Signal Processing Laboratory, Tampere, Finland, 1999.
    • (1999)
    • Lahnajärvi, J.1
  • 23
    • 25944436765 scopus 로고    scopus 로고
    • Forward selection initialization method for constructive neural networks
    • Proceedings of the Fourth World Multiconference on Circuits, Systems, Communications & Computers, CSCC'2000, Vouliagmeni, Greece, July 10-15 Also published as a book chapter in: N. Mastorakis (Ed.), Systems and Control: Theory and Applications, World Scientific and Engineering Society Press, 2000, pp. 263-268
    • J. Lahnajärvi, M. Lehtokangas, J. Saarinen, Forward selection initialization method for constructive neural networks, Proceedings of the Fourth World Multiconference on Circuits, Systems, Communications & Computers, CSCC'2000, Vouliagmeni, Greece, July 10-15, 2000, pp. 3151-3156. Also published as a book chapter in: N. Mastorakis (Ed.), Systems and Control: Theory and Applications, World Scientific and Engineering Society Press, 2000, pp. 263-268.
    • (2000) , pp. 3151-3156
    • Lahnajärvi, J.1    Lehtokangas, M.2    Saarinen, J.3
  • 24
    • 4944259144 scopus 로고    scopus 로고
    • Constructive neural networks - Automated allocation of hidden units into hidden layers
    • Proceedings of the 2001 WSES International Conference on Neural Networks and Applications, NNA'01, Puerto De La Cruz, Spain, February 11-15, Also published as a book chapter in: N. Mastorakis (Ed.), Advances in Neural Networks and Applications, World Scientific and Engineering Society Press, 2001, pp. 146-151
    • J. Lahnajärvi, M. Lehtokangas, J. Saarinen, Constructive neural networks - automated allocation of hidden units into hidden layers, Proceedings of the 2001 WSES International Conference on Neural Networks and Applications, NNA'01, Puerto De La Cruz, Spain, February 11-15, 2001, pp. 4041-4046. Also published as a book chapter in: N. Mastorakis (Ed.), Advances in Neural Networks and Applications, World Scientific and Engineering Society Press, 2001, pp. 146-151.
    • (2001) , pp. 4041-4046
    • Lahnajärvi, J.1    Lehtokangas, M.2    Saarinen, J.3
  • 25
    • 0003645482 scopus 로고
    • Nonlinear signal processing using neural networks: Prediction and signal modeling
    • Technical Report LA-UR-87-2662, Los Alamos National Laboratory, Los Alamos, NM
    • A. Lapedes, R. Farber, Nonlinear signal processing using neural networks: prediction and signal modeling, Technical Report LA-UR-87-2662, Los Alamos National Laboratory, Los Alamos, NM, 1987.
    • (1987)
    • Lapedes, A.1    Farber, R.2
  • 26
    • 0000992610 scopus 로고
    • Initializing weights of a multilayer perceptron network by using the orthogonal least squares algorithm
    • M. Lehtokangas, J. Saarinen, P. Huuhtanen, K. Kaski, Initializing weights of a multilayer perceptron network by using the orthogonal least squares algorithm, Neural Comput. 7 (5) (1995) 982-999.
    • (1995) Neural Comput. , vol.7 , Issue.5 , pp. 982-999
    • Lehtokangas, M.1    Saarinen, J.2    Huuhtanen, P.3    Kaski, K.4
  • 27
    • 0003563802 scopus 로고
    • Modeling with layered feedforward neural networks
    • Dr. Technical Dissertation, Tampere University of Technology, Electronics Laboratory, Publications 163, Tampere, Finland
    • M. Lehtokangas, Modeling with layered feedforward neural networks, Dr. Technical Dissertation, Tampere University of Technology, Electronics Laboratory, Publications 163, Tampere, Finland, 1995.
    • (1995)
    • Lehtokangas, M.1
  • 28
    • 0032585006 scopus 로고    scopus 로고
    • Weight Initialization with Reference Patterns
    • M. Lehtokangas, J. Saarinen, Weight Initialization with Reference Patterns, Neurocomputing 20 (1998) 265-278.
    • (1998) Neurocomputing , vol.20 , pp. 265-278
    • Lehtokangas, M.1    Saarinen, J.2
  • 29
    • 0033097130 scopus 로고    scopus 로고
    • Fast initialization for cascade-correlation learning
    • M. Lehtokangas, Fast initialization for cascade-correlation learning, IEEE Trans. Neural Networks 10 (2) (1999) 410-414.
    • (1999) IEEE Trans. Neural Networks , vol.10 , Issue.2 , pp. 410-414
    • Lehtokangas, M.1
  • 30
    • 0013312016 scopus 로고
    • Cascade LLM networks
    • Proceedings of the 1992 International Conference on Artificial Neural Networks, ICANN-92 Brighton, United Kingdom, September 4-7
    • E. Littmann, H. Ritter, Cascade LLM networks, Proceedings of the 1992 International Conference on Artificial Neural Networks, ICANN-92, Vol. 1, Brighton, United Kingdom, September 4-7, 1992, pp. 253-257.
    • (1992) , vol.1 , pp. 253-257
    • Littmann, E.1    Ritter, H.2
  • 31
    • 0013220124 scopus 로고
    • Generalization abilities of cascade network architectures
    • S.J. Hanson, J.D. Cowan, C.L. Giles (Eds.), Morgan Kaufmann Publishers, San Mateo, CA
    • E. Littmann, H. Ritter, Generalization abilities of cascade network architectures, in: S.J. Hanson, J.D. Cowan, C.L. Giles (Eds.), Advances in Neural Information Processing Systems 5, Morgan Kaufmann Publishers, San Mateo, CA, 1993, pp. 188-195.
    • (1993) Advances in Neural Information Processing Systems , vol.5 , pp. 188-195
    • Littmann, E.1    Ritter, H.2
  • 33
    • 0003444646 scopus 로고
    • Parallel Distributed Processing
    • MIT Bradford Press, Cambridge, MA
    • J.L. McClelland, D.E. Rumelhart, Parallel Distributed Processing, MIT Bradford Press, Cambridge, MA, 1986.
    • (1986)
    • McClelland, J.L.1    Rumelhart, D.E.2
  • 34
    • 0013312511 scopus 로고    scopus 로고
    • Oregon Graduate Institute of Science and Technology, Data Distribution WWW site
    • Oregon Graduate Institute of Science and Technology, Data Distribution WWW site (http://www.ece.ogi.edu/ ~ericwan/data.html).
  • 35
    • 0004042460 scopus 로고
    • PROBEN1-A set of neural network benchmark problems and benchmarking rules
    • Technical Report 21/94, Fakultät für Informatik, Universität Karlsruhe, D-76128 Karlsruhe, Germany, September
    • L. Prechelt, PROBEN1-A set of neural network benchmark problems and benchmarking rules, Technical Report 21/94, Fakultät für Informatik, Universität Karlsruhe, D-76128 Karlsruhe, Germany, September 1994.
    • (1994)
    • Prechelt, L.1
  • 36
    • 0031193357 scopus 로고    scopus 로고
    • Investigation of the CasCor family of learning algorithms
    • L. Prechelt, Investigation of the CasCor family of learning algorithms, Neural Networks 10 (5) (1997) 885-896.
    • (1997) Neural Networks , vol.10 , Issue.5 , pp. 885-896
    • Prechelt, L.1
  • 37
    • 0027662338 scopus 로고
    • Pruning algorithms - A survey
    • R. Reed, Pruning algorithms - a survey, IEEE Trans. Neural Networks 4 (5) (1993) 740-747.
    • (1993) IEEE Trans. Neural Networks , vol.4 , Issue.5 , pp. 740-747
    • Reed, R.1
  • 38
    • 0004109478 scopus 로고
    • RPROP - Description and implementation details
    • Technical Report, January 1994, Institut für Logik, Komplexität und Deduktionssysteme, University of Karlsruhe, Germany
    • M. Riedmiller, RPROP - description and implementation details, Technical Report, January 1994, Institut für Logik, Komplexität und Deduktionssysteme, University of Karlsruhe, Germany, 1994.
    • (1994)
    • Riedmiller, M.1
  • 39
    • 84943274699 scopus 로고
    • A direct adaptive method for faster backpropagation learning: The RPROP algorithm
    • Proceedings of the IEEE International Conference on Neural Networks, San Francisco, CA, March 28-April 1
    • M. Riedmiller, H. Braun, A direct adaptive method for faster backpropagation learning: the RPROP algorithm, Proceedings of the IEEE International Conference on Neural Networks, San Francisco, CA, March 28-April 1, 1993, pp. 586-591.
    • (1993) , pp. 586-591
    • Riedmiller, M.1    Braun, H.2
  • 40
    • 33747518267 scopus 로고
    • Optimal weight initialization for neural networks
    • Proceedings of the International Conference on Artificial Neural Networks, ICANN'94, Sorrento, Italy, May 26-29
    • R. Rojas, Optimal weight initialization for neural networks, Proceedings of the International Conference on Artificial Neural Networks, ICANN'94, Vol. 1, Sorrento, Italy, May 26-29, 1994, pp. 577-580.
    • (1994) , vol.1 , pp. 577-580
    • Rojas, R.1
  • 41
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • D.E. Rumelhart, J.L. McClelland (Eds.), The MIT Press, Cambridge, MA
    • D. Rumelhart, G. Hinton, R. Williams, Learning internal representations by error propagation, in: D.E. Rumelhart, J.L. McClelland (Eds.), Parallel Distributed Processing, The MIT Press, Cambridge, MA, Vol. 1, 1986, pp. 318-330.
    • (1986) Parallel Distributed Processing , vol.1 , pp. 318-330
    • Rumelhart, D.1    Hinton, G.2    Williams, R.3
  • 42
    • 0013309547 scopus 로고    scopus 로고
    • The Santa Fe Time Series Competition Data WWW site
    • The Santa Fe Time Series Competition Data WWW site (http://www.stem.nyu.edu/ ~aweigend/Time-Series/SantaFe.html).
  • 43
    • 0027274189 scopus 로고
    • Neural network constructive algorithms: Trading generalization for learning efficiency?
    • F.J. Smieja, Neural network constructive algorithms: trading generalization for learning efficiency? Circuits, Systems Signal Processing 12 (2) (1993) 331-374.
    • (1993) Circuits, Systems Signal Processing , vol.12 , Issue.2 , pp. 331-374
    • Smieja, F.J.1
  • 44
    • 0013220125 scopus 로고    scopus 로고
    • Strange Attractors, Chaos and Time-Series Analysis WWW site
    • Strange Attractors, Chaos and Time-Series Analysis WWW site, (http://sprott.physics.wisc.edu/phys505/lect06.htm).
  • 45
    • 0031097898 scopus 로고    scopus 로고
    • High order and multilayer perceptron initialization
    • G. Thimm, E. Fiesler, High order and multilayer perceptron initialization, IEEE Trans. Neural Networks 8 (2) (1997) 349-359.
    • (1997) IEEE Trans. Neural Networks , vol.8 , Issue.2 , pp. 349-359
    • Thimm, G.1    Fiesler, E.2
  • 46
    • 0001322181 scopus 로고    scopus 로고
    • Extending CasPer: A regression survey
    • Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems
    • N.K. Treadgold, T.D. Gedeon, Extending CasPer: a regression survey, Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, Vol. 1, 1997, pp. 310-313.
    • (1997) , vol.1 , pp. 310-313
    • Treadgold, N.K.1    Gedeon, T.D.2
  • 47
    • 0013312512 scopus 로고    scopus 로고
    • The UCI Machine Learning Repository WWW Site
    • The UCI Machine Learning Repository WWW Site, (http://www.ics.uci.edu/ ~mlearn/ MLRepository.html).
  • 48
    • 0003529238 scopus 로고
    • Beyond regression: New tools for prediction and analysis in the behavioral sciences
    • Ph.D. Dissertation, Harvard University, Cambridge
    • P. Werbos, Beyond regression: new tools for prediction and analysis in the behavioral sciences, Ph.D. Dissertation, Harvard University, Cambridge, 1974.
    • (1974)
    • Werbos, P.1
  • 49
    • 0026955395 scopus 로고
    • Avoiding false local minima by proper initialization of connections
    • L.F.A. Wessels, E. Barnard, Avoiding false local minima by proper initialization of connections, IEEE Trans. Neural Networks 3 (6) (1992) 899-905.
    • (1992) IEEE Trans. Neural Networks , vol.3 , Issue.6 , pp. 899-905
    • Wessels, L.F.A.1    Barnard, E.2
  • 50
    • 0004113431 scopus 로고
    • Adaptive Signal Processing
    • Prentice-Hall, Englewood Cliffs, NJ
    • B. Widrow, S.D. Stearns, Adaptive Signal Processing, Prentice-Hall, Englewood Cliffs, NJ, 1985.
    • (1985)
    • Widrow, B.1    Stearns, S.D.2
  • 51
    • 0025651706 scopus 로고
    • Multisurface Method of Pattern Separation for Medical Diagnosis Applied to Breast Cytology
    • December
    • W.H. Wolberg, O.L. Mangasarian, Multisurface Method of Pattern Separation for Medical Diagnosis Applied to Breast Cytology, Proceedings of the National Academy of Sciences, USA, Vol. 87, December 1990, pp. 9193-9196.
    • (1990) Proceedings of the National Academy of Sciences, USA , vol.87 , pp. 9193-9196
    • Wolberg, W.H.1    Mangasarian, O.L.2


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