Neural Network Classification and Formalization
| Type of publication: | Journal paper |
| Citation: | Fiesler-94.2 |
| Journal: | Computer Standards & Interfaces |
| Volume: | 16 |
| Number: | 03 |
| Year: | 1994 |
| Month: | 6 |
| ISSN: | 0920-5489 |
| Abstract: | In order to assist the field of neural networks in maturing, a formalization and a solid foundation are essential. Additionally, to permit the introduction of formal proofs, it is essential to have an all- encompassing formal mathematical definition of a neural network. This publication offers a neural network formalization consisting of a topological taxonomy, a uniform nomenclature, and an accompanying consistent mnemonic notation. Supported by this formalization, both a flexible hierarchical and a universal mathematical definition are presented. |
| Userfields: | special={Neural Network Standards}, language={English}, remark={Available on-line.}, ipdmembership={neuron learning}, |
| Keywords: | architecture, definition, formalization, mnemonic notation, neural network classification, neural network determination, nomenclature, standardization, terminology, topological taxonomy, topology |
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Idiap |
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| Added by: | [UNK] |
| Total mark: | 0 |
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