Abstract
We use the term neural networks (NNs) to denote a class of models which are referenced in the literature under various names, including: artificial neural systems, connectionist models and parallel distributed processing models. The name neural networks was selected from the variety of currently used names because it is the most popular and widely accepted. Moreover, it is historically justifiable and, although perhaps less accurate than some of the other terms, has an intuitive appeal. These names are used to denote mathematical models of brain function, which are intended to express the massively parallel processing and distributed representation properties of the brain (Arbib, 1964; Grossberg, 1988; Hestenes, 1986; Lippmann, 1987; Rumelhart et al, 1986; Simpson, 1988).
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© 1992 ECSC — EEC — EAEC, Brussels — Luxembourg
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Croall, I.F., Mason, J.P. (1992). An Overview of Neural Networks. In: Croall, I.F., Mason, J.P. (eds) Industrial Applications of Neural Networks. Research Reports ESPRIT, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84837-7_2
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DOI: https://doi.org/10.1007/978-3-642-84837-7_2
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