Abstract
The worldwide interest in artificial neural networks that has emerged during the 1980’es has its origins in the dual nature of neural networks: they belong to the class of non-linear dynamical systems, but can also be used as general modeling devices for such systems. Non-linear dynamical systems have traditionally been extremely difficult to model, theoretically or experimentally.
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© 1993 Springer-Verlag Berlin Heidelberg
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Brunak, S. (1993). Doing Sequence Analysis by Inspecting the Order in which Neural Networks Learn. In: Soumpasis, D.M., Jovin, T.M. (eds) Computation of Biomolecular Structures. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77798-1_4
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DOI: https://doi.org/10.1007/978-3-642-77798-1_4
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