Detecting changes of state in heterogeneous dynamic processes with time-dependent models: A soft-computing approach

Proceedings of the Eighth IASTED International Conference on Artificial Intelligence and Soft Computing

Volumn , Issue , 2004, Pages 155-160

  Valdés, Julio J ^a  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

Evolutionary algorithms; Heterogeneous multivariate time series; Model discovery; Neuro fuzzy networks; Probability distributions

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; DATA MINING; DATABASE SYSTEMS; EVOLUTIONARY ALGORITHMS; EXPERT SYSTEMS; FUNCTIONS; NEURAL NETWORKS; PROBABILITY DISTRIBUTIONS; TIME SERIES ANALYSIS;

HETEROGENEOUS MULTIVARIATE TIME SERIES; HUMAN EXPERTS; MODEL DISCOVERY; NEURO-FUZZY NETWORKS;

FUZZY SETS;

EID: 10444220220     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Belanche, Ll.: Heterogeneous neural networks: Theory and applications. PhD Thesis, Department of Languages and Informatic Systems, Polytechnic University of Catalonia, Barcelona, Spain,July 2000.
2. Box, G., Jenkins, G.: Time Series Analysis, Forecasting and Control. Prentice Hall, 592 p, 1976.
3. Chandon, J.L., and Pinson, S.:. Masson, Paris, 254 p, 1981.
4. Masters,T.: Neural, Novel & Hybrid Algorithms for Time Series Prediction. John Wiley & Sons, 544 p, 1995.
5. Pole,A., West M., Harrison J.: Applied Bayesian Forecasting and Time Series Analysis. CRC Press, 432p., 1994.
6. Press, W.H, Teukolsky, S.A., Vetterling, W.T. Flannery, B.P: Numerical Recipes in C. Cambridge Univ. Press, 994 pp, 1992.
7. Valdés, J.J, García R.: A model for heterogeneous neurons and its use in configuring neural networks for classification problems. In Proceedings. of the International. Work-Conference on Artificial and Natural Neural Networks, IWANN'97. Biological and Artificial Computation: From Neuroscience to Technology, (Mira, Moreno-Díaz, Cabestany eds.), Lecture Notes in Computer Science 1240, Springer-Verlag, pp 237-246, 1997.
8. Valdés J.J, Belanche, L, Alquézar, R.: Fuzzy Heterogeneous Neurons for Imprecise Classification Problems. International Journal of Intelligent Systems, 15(3), 2000.
9. Valdés, J.J.: Time Series Models Discovery with Similarity-Based Neuro-Fuzzy Networks and Evolutionary Algorithms. Proc. IEEE World Congress on Computational Intelligence WCCI'2002. IEEE, Hawaii, USA, May 12-17, 0-7803-7278-6/02, 2002.
10. Valdés, J.J., Mateescu G: Time Series Models Discovery with Similarity-Based Neuro-Fuzzy Networks and Genetic Algorithms: A Parallel Implementation. Third. Int. Conf. on Rough Sets and Current-Trends in Computing RSCTC 2002. Malvern, PA, USA, Oct 14-17. Alpigini, Peters, Skowron, Zhong (Eds.) Lecture Notes in Computer Science (Lecture Notes in ArtificialIntelligence Series) LNCS 2475, Springer-Verlag, pp. 279-288, 2002.
11. Valdés, J.J.: Similarity-based heterogeneous neurons in the context of general observational models: NeuralNetwork World, v.12, no. 5, p. 499-508, 2002.
12. th Int. Conf. On Neural Information Processing ICONIP'02. Nov. 18-22, 2002. Orchid Country Club, Singapore.