Open access peer-reviewed chapter

Particle-Swarm-Optimization-Based Selective Neural Network Ensemble and Its Application to Modeling Resonant Frequency of Microstrip Antenna

By Tian Yu-Bo and Xie Zhi-Bin

Submitted: June 14th 2010Reviewed: October 21st 2010Published: April 4th 2011

DOI: 10.5772/15658

Downloaded: 2158

© 2011 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike-3.0 License, which permits use, distribution and reproduction for non-commercial purposes, provided the original is properly cited and derivative works building on this content are distributed under the same license.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Tian Yu-Bo and Xie Zhi-Bin (April 4th 2011). Particle-Swarm-Optimization-Based Selective Neural Network Ensemble and Its Application to Modeling Resonant Frequency of Microstrip Antenna, Microstrip Antennas Nasimuddin Nasimuddin, IntechOpen, DOI: 10.5772/15658. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="http://www.intechopen.com/embed/microstrip-antennas/particle-swarm-optimization-based-selective-neural-network-ensemble-and-its-application-to-modeling-" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

2158total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Microstrip Antennas Conformed onto Spherical Surfaces

By Daniel B. Ferreira and J. C. da S. Lacava

Related Book

First chapter

Hardware Design and Deployment Issues in UHF RFID Systems

By Byung-Jun Jang

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

+3,550 Open Access Books

+57,400 Citations in Web of Science

+108,500 IntechOpen Authors and Academic Editors

+560,000 Unique visitors per month

More about us