Abstract
Artificial neural network models constitute an emerging technology for information processing that can already be credited with some convincing achievements. With the pragmatic purpose to show how — and not why — neural nets work, an overview of the main static and dynamic features of the principal connectionist models is provided.
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© 1991 Springer Science+Business Media Dordrecht
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Varfis, A. (1991). An Introduction to Neural Networks. In: Heidrich, D., Grossetie, J.C. (eds) Computing with T.Node Parallel Architecture. Eurocourses: Computer and Information Science, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3496-5_12
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DOI: https://doi.org/10.1007/978-94-011-3496-5_12
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