A Hierarchical Procedure for the Synthesis of ANFIS Networks
Author
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-04
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Adaptive neurofuzzy inference systems (ANFIS) represent an efficient technique for the solution of function approximation problems.
When numerical samples are available in this regard, the synthesis of ANFIS networks can be carried out exploiting clustering algorithms.
Starting from a hyperplane clustering synthesis in the joint input-output space, a computationally efficient optimization of ANFIS networks is proposed in this paper.
It is based on a hierarchical constructive procedure, by which the number of rules is progressively increased and the optimal one is automatically determined on the basis of learning theory in order to maximize the generalization capability of the resulting ANFIS network.
Extensive computer simulations prove the validity of the proposed algorithm and show a favorable comparison with other well-established techniques.
American Psychological Association (APA)
Panella, Massimo. 2012. A Hierarchical Procedure for the Synthesis of ANFIS Networks. Advances in Fuzzy Systems،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-475837
Modern Language Association (MLA)
Panella, Massimo. A Hierarchical Procedure for the Synthesis of ANFIS Networks. Advances in Fuzzy Systems No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-475837
American Medical Association (AMA)
Panella, Massimo. A Hierarchical Procedure for the Synthesis of ANFIS Networks. Advances in Fuzzy Systems. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-475837
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-475837