%Aigaion2 BibTeX export from Idiap Publications
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@ARTICLE{Fiesler-94.2,
         author = {Fiesler, Emile},
       keywords = {architecture, definition, formalization, mnemonic notation, neural network classification, neural network determination, nomenclature, standardization, terminology, topological taxonomy, topology},
       projects = {Idiap},
          month = {6},
          title = {Neural Network Classification and Formalization},
        journal = {Computer Standards {&} Interfaces},
         volume = {16},
         number = {03},
           year = {1994},
      publisher = {North-Holland~/ Elsevier Science Publishers},
        address = {Amsterdam, The Netherlands},
           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.},
special={Neural Network Standards},
language={English},
remark={Available on-line.},
ipdmembership={neuron learning},
}