Pattern Detection with Growing Neural Networks — An Application to Marketing and Library Data

Reinhold Decker and Antonia Hermelbracht
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Reinhold Decker: University of Bielefeld
Antonia Hermelbracht: University of Bielefeld

A chapter in Operations Research Proceedings 2004, 2005, pp 230-237 from Springer

Abstract: Abstract This paper introduces a new growing neural network for pattern detection which bears certain resemblances to the growing neural gas network suggested by Pritzke (1995) [2]. However, the algorithm at hand is more parsimonious with respect to the number of parameters to be specified a priori. Thus it is largely autonomous regarding the data-driven construction of the final network topology which unburdens the user significantly. To demonstrate its performance and adaptability the new algorithm is applied to real classification tasks in lifestyle analysis and media usage analysis.

Keywords: Weight Vector; Training Requirement; Academic Library; Match Unit; Firing Counter (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-540-27679-1_29

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DOI: 10.1007/3-540-27679-3_29

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