MIGA, a software tool for nonlinear system modelling with modular neural networks

Applied Intelligence

Volumn 20, Issue 1, 2004, Pages 37-45

  Morcego, Bernardo ^a   Fuertes, Josep M ^a   Cembrano, Gabriela ^b  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b CSIC   (Spain)

Author keywords

Dynamic system modelling; Knowledge acquisition; Modular neural networks; Software tools

Indexed keywords

COMPUTER AIDED SOFTWARE ENGINEERING; CONTROL SYSTEM ANALYSIS; KNOWLEDGE ACQUISITION; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; PARAMETER ESTIMATION;

DYNAMIC SYSTEM MODELLING; MODULAR NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 1142268916     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:APIN.0000011140.39317.ab     Document Type: Article

References (17)

1. A.J. Sharkey (Ed.), Combining Artificial Neural Nets. Ensemble and Modular Multi-Net Systems, Springer-Verlag, 1999.
2. S.A. Billings, "Identification of nonlinear systems - a survey," IEEE Proceedings vol. 127, no. 6, pp. 272-285, 1980.
3. R. Haber and H. Unbenhauen, "Structure identification of non linear dynamic systems - A survey on input/output approaches," Automatica vol. 26, no. 4, pp. 651-677, 1990.
4. K.J. Hunt, D. Sbarbaro, R. Zbikowski, and P.J. Gawthrop, "Neural networks for control systems - A survey," Automatica, vol. 28, no. 26, 1993.
5. Y. Bennani and P. Gallinari, "Task decomposition through a modular connectionist architecture: A talker identification system," in Artificial Neural Networks, edited by I. Aleksander and J. Taylor, vol. 2, Elsevier Science, 1992.
6. S.H. Chen and Y.F. Liao, "Modular recurrent neural networks for mandarin syllable recognition," IEEE Transactions on Neural Networks, vol. 9, no. 6, 1998.
7. R.A. Jacobs and M.I. Jordan, "Learning piecewise control strategies in a modular neural network architecture," IEEE Transactions on System, Man and Cybernetics, vol. 23, no. 2, 1993.
8. B.L.M. Happel and J.M.J. Murre, "The design and evolution of modular neural network architectures," Neural Networks, vol. 7, pp. 985-1004, 1994.
9. B. Morcego, J.M. Fuertes, and G. Cembrano, "Neural modules: Networks with constrained architectures for nonlinear function identification," in Proceedings of the International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing, 1996.
10. B. Morcego, J.M. Fuertes, J. Codina, and G. Cembrano, "Modular neural network framework for nonlinear dynamic systems modeling," TEMPUS Workshop MODIFY'97, 1997.
11. L.J. Fogel, A.J. Owens, and M.J. Walsh, Artificial Intelligence through Simulated Evolution, Wiley, 1966.
12. P.J. Angeline, G.M. Saunders, and J.B. Pollack, "An evolutionary algorithm that constructs recurrent neural networks," IEEE Transactions on Neural Networks, vol. 5, no. 1, 1996.
13. R.A. Jacobs and M.I. Jordan, "Hierarchical mixtures of experts and the EM algorithm," Neural Networks, vol. 6, 1994.
14. T. Catfolis, "Mapping a complex temporal problem into a combination of static and dynamic networks," SIGART Bulletin, vol. 5, no. 3, 1994.
15. E.A. Wan and F. Beaufays, "Diagrammatic derivation of gradient algorithms for neural networks," Neural Computation, no. 8, 1995.
16. L. Bottou and P. Gallinari, "A framework for the cooperation of learning algorithms," Advances in Neural Processing Systems edited by R. Lippmann, J. Moody, and D. Touretzky (eds.), vol. 3, Morgan Kaufman, 1991.
17. B. Morcego, Study of Modular Neural Networks for Nonlinear Dynamic Systems Modeling. Ph.D. thesis (in Spanish), Universitat Politècnica de Catalunya, 2000.