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- W1582876952 abstract "The two more known paradigms of Neural Networks are usually considered as very different structures. In this paper both structures are studied from the point of view of a general formal hierarchical recursive framework for describing connectionist models. As a result of this study both paradigms are defined, using the same language, from a top level of abstraction, down to a level suitable for implementation. The final basic primitives of the descriptions are taken from a set of standard building blocks in computation." @default.
- W1582876952 created "2016-06-24" @default.
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- W1582876952 date "1997-01-01" @default.
- W1582876952 modified "2023-09-25" @default.
- W1582876952 title "Structural level comparison of two basic paradigms in neural computation" @default.
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- W1582876952 doi "https://doi.org/10.1007/bfb0032549" @default.
- W1582876952 hasPublicationYear "1997" @default.
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