Improving learning enhancement radial basis function neural network using improved harmony search algoritim
Radial Basis Function (RBF) neural network training with Particle Swarm Optimization (PSO) overcomes the trapping to the local minimum by Back Propagation (BP) algorithm and slow computation of Genetic Algorithm (GA). However, PSO converged too fast which makes it to be trapped in the local optimum....
Saved in:
Main Author: | Ahmed Salad, Abdirahman |
---|---|
Format: | Thesis |
Published: |
2014
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Learning enhancement of radial basis function neural network with harmony search algorithm
by: Ahmed, Mohamed Hassan
Published: (2013) -
Radial basis function neural network learning with modified backpropagation algorithm
by: Tukur, Usman Muhammad
Published: (2014) -
Forecasting Muar river water quality using radial basis function neural network
by: Abd. Jalal, Mohd. Razi
Published: (2013) -
Logic Programming In Radial Basis
Function Neural Networks
by: Hamadneh, Nawaf
Published: (2013) -
Improved cuckoo search based neural network learning algorithms for data classification
by: Abdullah, Abdullah
Published: (2014)