Cart (Loading....) | Create Account
Close category search window
 

RBF Neural Network Based on Genetic Algorithm Used in Line Loss Calculation for Distribution Network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Huilan Jiang ; Tianjin Univ., Tianjin ; Yunzhou Yuan ; Yi Huang ; Guixin Li

In this paper, RBF neural network (RBFNN) based on genetic algorithm (GA) optimization is presented to deal with line losses calculation for power distribution networks. The centers and widths of hidden layer and the weights of the output layer are coded into one chromosome. It strengthens the cooperation between the hidden layer and the output layer, and avoids the risk of getting stuck into a local minimum. The simulation results indicate that the method presented has the advantages of a simple model, speedy learning and high precision.

Published in:

Natural Computation, 2007. ICNC 2007. Third International Conference on  (Volume:3 )

Date of Conference:

24-27 Aug. 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.