Neural Network Classification and Formalization
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.
Keywords: connectionist network ; neural network determination ; neuron ; neural computation ; learning ; topology ; definition ; standardization ; formalization ; mnemonic notation ; neural network classification ; nomenclature ; topological taxonomy ; connectionism ; neural computing ; architecture ; terminology ; artificial neural network
Record created on 2006-03-10, modified on 2016-08-08