Optimization of the combinatorial neural model

Optimization of the combinatorial neural model

We present significant optimization 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 then presents CNM optimization together with...

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Bibliographic Details
Published in:Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No.98EX209) pp. 49 - 54
Main Authors: Beckenkamp, F.G., Feldens, M.A., Pree, W.
Format: Conference Proceeding
Language:English
Published: IEEE 1998
Subjects:
Capacity planning
Computer science
Data mining
Expert systems
Explosions
Fuzzy sets
Java
Neural networks
Neurons
Software engineering
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Summary:We present significant optimization 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 then presents CNM optimization together with empiric results. The most important optimization aims at taming combinatorial explosion, which is the main problem inherent to this model.
ISBN:0818686294
9780818686290
DOI:10.1109/SBRN.1998.730993