Title :
Particle Swarm Extension to LOLIMOT
Author :
Mehran, Ramin ; Fatehi, Alireza ; Lucas, Caro ; Araabi, Babak Nadjar
Author_Institution :
K.N.Toosi Univ. of Technol., Tehran
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;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.253743
