Title: Implementation of neural network in particle swarm optimization (PSO) techniques
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.
Publication Year: 2009
Publication Date: 2009-07-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 3
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot