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Contribution to an XML-based representation of information related to artificial neural networks

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1 Author(s)
Bartz, R. ; Cologne Univ. of Appl. Sci., Cologne

This paper describes a scalable XML-based approach to store data and configurations of artificial neural networks (ANNs) for the purpose of documentation and exchange between scientific and production tools. After a brief summary on ANNs and how their information is currently stored, some use cases for data related to an ANN are discussed. Derived from these use cases, a specification for a flexible data storage solution is described. A subsequent section presents a complementary approach to store configuration information that also may be scaled to specific needs. Both specifications build up the XML language ANNSL (artificial neural network specification language).

Published in:

Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE

Date of Conference:

10-13 Nov. 2008

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