Abstract
We are presenting a coupled modelling concept which is suitable to reproduce sensory systems in a plausible way. The idea is to connect a biological relevant Neural Network as a filter with a structured formal Neural Network to classify the filtered data. Because the biological filter is very flexible and self organized it has the capacity to make segmentation and feature extraction of input data like a sensory pathway. So, temporal processes can be represented in a sequence of prefiltered segments. The produced time sequences are suited for the analysis by a multi-stage construction of the classification network, which has a modified Hypermap structure. The presented system is succesfully used for speech recognition of different subjects.
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References
Gordon M. Shepherd. Neurobiology. Qxford University Press, New York, Oxford, 1988.
H. Handwerker. Allgemeine Sinnesphysiologie. In R. F. Schmidt and G. Thews, editors, Physiologie des Menschen, pages 186–206. Springer-Verlag, Berlin, 1987.
W. D. Keidel. Biokybernetik des Menschen. Wissenschaftliche Buchgesellschaft, Darmstadt, 1989.
A. Richter, W. Zander, and E. Körner. Using parametric controlled structured networks to approach neural networks to neurosciences. In Kohonen et al. [13], pages 1451–1454.
W. Zander, B. Brückner, and G. Brankatschk. Simulation of biological relevant neural networks. In Contributions to the 21th Göttingen Neurobiology Conference. Georg-Thieme-Verlag, 1993. in press.
Bernd Brückner, Marcella Franz, and Andreas Richter. A modified hypermap architecture … In I. Aleksander and J. Taylor, editors, Artificial Neural Networks, 2, pages 1167–1170, Amsterdam, 1992. Elsevier Science Publishers.
Bernd Brückner and Wiebke Zander. Classification of speech using a modified hypermap architecture. submitted to WCNN’93.
B. Brückner, M. Franz, and A. Richter. Analyse und klassifizierung von eeg-daten mittels strukturierter neuronaler netze. In Tagungsband 36.Internat, wiss. Koll. der TE Ilmenau, pages 694–699, Ilmenau, 1991.
H. Ritter, T. Martinetz, and K. Schulten. Neuronale Netze. Addison-Wesley, Bonn, 1990.
Teuvo Kohonen. The hypermap architecture. In Kohonen et al. [13], pages 1357–1360.
Jari Kangas. Time-dependent self-organizing maps for speech recognition. In Kohonen et al. [13], pages 1591–1594.
T. Kohonen. The self-organizing map. Proceedings of the IEEE, 78(9): 1464–1480, 1990.
T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, editors. Artificial Neural Networks, Helsinki, 1991. Elsevier Science Publishers.
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Brückner, B., Zander, W. (1993). Neurobiological Modelling and Structured Neural Networks. In: Gielen, S., Kappen, B. (eds) ICANN ’93. ICANN 1993. Springer, London. https://doi.org/10.1007/978-1-4471-2063-6_7
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DOI: https://doi.org/10.1007/978-1-4471-2063-6_7
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