DocumentCode
3226859
Title
Implementation of neural network in particle swarm optimization (PSO) techniques
Author
Chaurasia, Suhashini ; Daware, Shubhangi
Author_Institution
MCA Dept., Nagpur Univ., Nagpur, India
fYear
2009
fDate
22-24 July 2009
Firstpage
1
Lastpage
2
Abstract
this paper describes different techniques of particle swam optimization (PSO), implementing feed-forward architecture in neural network. The algorithms for different types of optimization techniques are developed. These algorithms leads to optimum search solution to a given problem. The new position of the particle is calculated considering the best technique for PSO.
Keywords
feedforward; neural nets; particle swarm optimisation; feedforward architecture; neural network; optimum search solution; particle swarm optimization techniques; Ant colony optimization; Biological system modeling; Feedforward neural networks; Feeds; Genetic algorithms; Multilayer perceptrons; Neural networks; Neurons; Particle scattering; Particle swarm optimization; Feed forward; Genetic algorithm; Neural Network; Swarm intelligence; Swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. International Conference on
Conference_Location
Chennai
Print_ISBN
978-1-4244-4710-7
Type
conf
DOI
10.1109/IAMA.2009.5228073
Filename
5228073
Link To Document