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PiLiMoT : A Modified Combination of LoLiMoT and PLN Learning Algorithms for Local Linear Neurofuzzy Modeling
Joint Authors
Araabi, Babak N.
Sarabi-Jamab, Atiye
Source
Journal of Control Science and Engineering
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-03-08
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Locally linear model tree (LoLiMoT) and piecewise linear network (PLN) learning algorithms are two approaches in local linear neurofuzzy modeling.
While both methods belong to the class of growing tree learning algorithms, they use different logics.
PLN learning relies on training data, it needs rich training data set and no division test, so it is much faster than LoLiMoT, but it may create adjacent neurons that may lead to singularity in regression matrix.
On the other hand, LoLiMoT almost always leads to acceptable output error, but it often needs more rules.
In this paper, to exploit the complimentary performance of both algorithms piecewise linear model tree (PiLiMoT) learning algorithm is introduced.
In essence, PiLiMoT is a combination of LoLiMoT and PLN learning.
The initially proposed algorithm is improved by adding the ability to merge previously divided local linear models, and utilizing a simulated annealing stochastic decision process to select a local model for splitting.
Comparing to LoLiMoT and PLN learning, our proposed improved learning algorithm shows the ability to construct models with less number of rules at comparable modeling errors.
Algorithms are compared through a case study of nonlinear function approximation.
Obtained results demonstrate the advantages of combined modified method.
American Psychological Association (APA)
Sarabi-Jamab, Atiye& Araabi, Babak N.. 2011. PiLiMoT : A Modified Combination of LoLiMoT and PLN Learning Algorithms for Local Linear Neurofuzzy Modeling. Journal of Control Science and Engineering،Vol. 2011, no. 2011, pp.1-9.
https://search.emarefa.net/detail/BIM-447310
Modern Language Association (MLA)
Sarabi-Jamab, Atiye& Araabi, Babak N.. PiLiMoT : A Modified Combination of LoLiMoT and PLN Learning Algorithms for Local Linear Neurofuzzy Modeling. Journal of Control Science and Engineering No. 2011 (2011), pp.1-9.
https://search.emarefa.net/detail/BIM-447310
American Medical Association (AMA)
Sarabi-Jamab, Atiye& Araabi, Babak N.. PiLiMoT : A Modified Combination of LoLiMoT and PLN Learning Algorithms for Local Linear Neurofuzzy Modeling. Journal of Control Science and Engineering. 2011. Vol. 2011, no. 2011, pp.1-9.
https://search.emarefa.net/detail/BIM-447310
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-447310