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5th Brazilian Symposium on Neural Networks
Optimizations of the Combinatorial Neural Model
Belo Horizonte, MG, Brazil
December 09-December 11
ISBN: 0-8186-8629-4
Fabio Ghignatti Beckenkamp, University of Constance
Wolfgang Pree, University of Constance
Miguel Artur Feldens, Federal University of Rio Grande do Sul
In this paper we present significant optimizations of the so-called Combinatorial Neural Model (CNM). CNM is a hybrid (neural/symbolic) model that has been used in areas such as expert system development and data mining. The paper first explains the CNM architecture and goes on to present CNM optimizations together with empiric results. The most important optimization aims at taming combinatorial explosion, which is the main problem inherent to this model.
Citation:
Fabio Ghignatti Beckenkamp, Wolfgang Pree, Miguel Artur Feldens, "Optimizations of the Combinatorial Neural Model," sbrn, pp.49, 5th Brazilian Symposium on Neural Networks, 1998
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