RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2007

AUTHORS

Milan Marček , Dušan Marček

ABSTRACT

At first, we discuss the basic structure of the fuzzy system as a simple yet powerful fuzzy modeling technique. Neural networks and fuzzy logic models are based on very similar underlying mathematics. The similarity between RBF networks and fuzzy models is noted in detail. Then, we propose the extension of RBF neural networks by the cloud model. Time series approximation and prediction by applying RBF neural networks or fuzzy models and comparisons between the various types of RBF networks and statistical models are discussed at length. More... »

PAGES

500-507

Book

TITLE

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

ISBN

978-3-540-72529-9
978-3-540-72530-5

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-72530-5_60

DOI

http://dx.doi.org/10.1007/978-3-540-72530-5_60

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1028476193


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