Comprehensive Evaluation Method of Transformer Area State Based on Hopfield Neural Network

DOI

10.2991/mmebc-16.2016.441How to use a DOI?

Keywords

Transformer Area Management; Comprehensive Evaluation; Hopfield Neural Network

Abstract

The intelligent distribution network is a kind of complex system, which is affected by many factors. The establishment of evaluation indexes and method of transformer area is the basis for further scientific planning, construction and management of distribution network. Based on the advantages of neural network in state evaluation, this paper presents a comprehensive evaluation method based on discrete Hopfield neural network. According to the evaluation indexes system, a comprehensive evaluation algorithm is designed. Finally, an example is given to demonstrate the effectiveness and universality of the method..

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Dong Wang
AU  - Fei Liu
AU  - Jing Fu
PY  - 2016/06
DA  - 2016/06
TI  - Comprehensive Evaluation Method of Transformer Area State Based on Hopfield Neural Network
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 2203
EP  - 2208
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.441
DO  - 10.2991/mmebc-16.2016.441
ID  - Wang2016/06
ER  -