Modelling radial basis functions with rational logic rules

Davide Sottara; Paola Mello

doi:10.1007/978-3-540-87656-4_42

Modelling radial basis functions with rational logic rules

Davide Sottara, Paola Mello

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Connectionist systems such as Radial Basis Function Neural Networks and similar architectures are commonly applied to solve problems of learning relations from available examples. To overcome their limits in clarity of representation, they are often interfaced with symbolic rule-based systems, provided that the information they have memorized can be interpreted. In this paper, an automatic implementation of a RBF-like system is presented using only gradual fuzzy rules learned by induction directly from training data. It is then shown that the same formalism, used with type-II truth values, can learn second-order, fuzzy relations.

Original language	English (US)
Title of host publication	Hybrid Artificial Intelligence Systems - Third International Workshop, HAIS 2008, Proceedings
Pages	337-344
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-540-87656-4_42
State	Published - 2008
Externally published	Yes
Event	3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008 - Burgos, Spain Duration: Sep 24 2008 → Sep 26 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5271 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008
Country/Territory	Spain
City	Burgos
Period	9/24/08 → 9/26/08

Keywords

Fuzzy logic
Induction
Radial basis function

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-87656-4_42

Cite this

Sottara, D., & Mello, P. (2008). Modelling radial basis functions with rational logic rules. In Hybrid Artificial Intelligence Systems - Third International Workshop, HAIS 2008, Proceedings (pp. 337-344). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5271 LNAI). https://doi.org/10.1007/978-3-540-87656-4_42

Modelling radial basis functions with rational logic rules. / Sottara, Davide; Mello, Paola.
Hybrid Artificial Intelligence Systems - Third International Workshop, HAIS 2008, Proceedings. 2008. p. 337-344 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5271 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sottara, D & Mello, P 2008, Modelling radial basis functions with rational logic rules. in Hybrid Artificial Intelligence Systems - Third International Workshop, HAIS 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5271 LNAI, pp. 337-344, 3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008, Burgos, Spain, 9/24/08. https://doi.org/10.1007/978-3-540-87656-4_42

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Modelling radial basis functions with rational logic rules

Abstract

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Keywords

ASJC Scopus subject areas

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