%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},
}