Particle Swarm Extension to LOLIMOT

Author

Mehran, Ramin ; Fatehi, Alireza ; Lucas, Caro ; Araabi, Babak Nadjar

Author_Institution

K.N.Toosi Univ. of Technol., Tehran

Volume

2

fYear

2006

fDate

16-18 Oct. 2006

Firstpage

969

Lastpage

974

Abstract

In this paper, we will present population based method for placement of center of radial basis function of a locally linear neuro-fuzzy (LLNF) network, which is trained by LOLIMOT algorithm. Originally, LOLIMOT algorithm incrementally divides the hyper-rectangles on input space into two axes orthogonal directions in half. However, this heuristic method would not be the best possible partitioning of the space. We present and evaluate a new particle swarm optimization (PSO) method for finding the best divisions of input space in the LOLIMOT algorithm

Keywords

divide and conquer methods; fuzzy neural nets; particle swarm optimisation; radial basis function networks; LOLIMOT algorithm; divide-and-conquer strategy; locally linear neuro-fuzzy network; particle swarm optimization; population based method; radial basis function; Concrete; Neural networks; Neurons; Optimization methods; Particle swarm optimization; Partitioning algorithms; Radial basis function networks; Search methods; Space technology; Stochastic systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on

Conference_Location

Jinan

Print_ISBN

0-7695-2528-8

Type

conf

DOI

10.1109/ISDA.2006.253743

Filename

4021795