- About this Journal
- Abstracting and Indexing
- Aims and Scope
- Article Processing Charges
- Articles in Press
- Author Guidelines
- Bibliographic Information
- Citations to this Journal
- Contact Information
- Editorial Board
- Editorial Workflow
- Free eTOC Alerts
- Publication Ethics
- Reviewers Acknowledgment
- Submit a Manuscript
- Subscription Information
- Table of Contents
Advances in Artificial Neural Systems
Volume 2011 (2011), Article ID 431357, 9 pages
doi:10.1155/2011/431357
Adaptive Neurofuzzy Inference System-Based Pollution Severity Prediction of Polymeric Insulators in Power Transmission Lines
1Department of Electrical Engineering, K. S. Rangasamy College of Technology, Tiruchengode 637 215, India
2Department of Electrical Engineering, SonaPERT R&D Centre, Sona College of Technology, Salem 636 005, India
Received 11 January 2011; Revised 13 April 2011; Accepted 16 June 2011
Academic Editor: Christian Mayr
Copyright © 2011 C. Muniraj and S. Chandrasekar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite this Article
C. Muniraj and S. Chandrasekar, “Adaptive Neurofuzzy Inference System-Based Pollution Severity Prediction of Polymeric Insulators in Power Transmission Lines,” Advances in Artificial Neural Systems, vol. 2011, Article ID 431357, 9 pages, 2011. doi:10.1155/2011/431357