Analysis of drifting dynamics with neural network hidden markov models

Advances in Neural Information Processing Systems

Volumn , Issue , 1998, Pages 735-741

  Kohlmorgen, J ^a   Mullerc K R ^a   Pawelzik, K ^b  

^a FRAUNHOFER FIRST   (Germany)

^b MPI f Strömungsforschung ^*  (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

TIME SERIES;

ANALYSIS AND MODELING; MODEL DRIFT; NON-STATIONARY TIME SERIES; OPERATING MODES; REAL-WORLD TIME SERIES; UNSUPERVISED TRAINING;

HIDDEN MARKOV MODELS;

EID: 0006132299     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Jacobs, R.A., Jordan, M.A., Nowlan, S.J., Hinton, G.E. (1991). Adaptive Mixtures of Local Experts, Neural Computation 3, 79-87.
2. Kohlmorgen, J., Miiller, K.-R., Pawelzik, K. (1995). Improving short-term prediction with competing experts. ICANN'95, EC2 & Cie, Paris, 2:215-220.
3. Kohlmorgen, J., Miiller, K.-R., Rittweger, J., Pawelzik, K., in preparation.
4. Mackey, M., Glass, L. (1977). Oscillation and Chaos in a Physiological Control System, Science 197, 287.
5. Moody, J., Darken, C. (1989). Fast Learning in Networks of Locally-Tuned Processing Units. Neural Computation 1, 281-294.
6. Miiller, K.-R., Kohlmorgen, J., Pawelzik, K. (1995). Analysis of Switching Dynamics with Competing Neural Networks, IEICE Trans, on Fundamentals of Electronics, Communications and Computer Sc., E78-A, No.10, 1306-1315.
7. Miiller, K.-R., Kohlmorgen, J., Rittweger, J., Pawelzik, K. (1995). Analysing Physiological Data from the Wake-Sleep State Transition with Competing Predictors, NOLTA'95: Symposium on Nonlinear Theory and its Appl., 223-226.
8. Pawelzik, K., Kohlmorgen, J., Miiller, K.-R. (1996). Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics, Neural Computation, 8:2, 342-358.
9. Rabiner, L.R. (1988). A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. In Readings in Speech Recognition, ed. A. Waibel, K. Lee, 267-296. San Mateo: Morgan Kaufmann, 1990.
10. Takens, F. (1981). Detecting Strange Attractors in Turbulence. In: Rand, D., Young, L.-S., (Eds.), Dynamical Systems and Turbulence, Springer Lecture Notes in Mathematics, 898, 366.
11. Weigend, A.S., Gershenfeld, N.A. (Eds.) (1994). Time Series Prediction: Forecasting the Future and Understanding the Past, Addison-Wesley.