Research on SVM Line Loss Rate Prediction Based on Heuristic Algorithm-Reference-Cited by-同舟云学术

Research on SVM Line Loss Rate Prediction Based on Heuristic Algorithm

Published:2013-02 Issue: Volume:291-294 Page:2164-2168
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Tian Li¹,Wang Qiang Qiang¹,Cao An Zhao¹

Affiliation:

1. Anhui Polytechnic University

Abstract

With the characteristic of line loss volatility, a research of line loss rate prediction was imperatively carried out. Considering the optimization ability of heuristic algorithm and the regression ability of support vector machine, a heuristic algorithm-support vector machine model is constructed. Case study shows that, compared with other heuristic algorithms’, the search efficiency and speed of genetic algorithm are good, and the prediction model is with high accuracy.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.291-294.2164.pdf

Reference7 articles.

1. Jin Li, Hua Wang: Journal of Hunan University of Science & Technology ( Natural Science Edition), Vol. 26 No. 1(2011). (In Chinese).

2. JonglaK Pahasaa* and Issarachai Ngamroob: Expert Systems with Applications （2011）, p.13987～13993.

3. Zhengbin Cui, Guangming Tang and Feng Yue: Computer Engineering and Applications, Vol. 36 No. 45(2009). (In Chinese).

4. Zhijun Xu: Modern Manufacturing Engineering Vol. 16(2011). (In Chinese).

5. Jiangtao Chao and Chun-sen Ma: China Journal of Bioinformatics Vol. 9 No. 2 (2011). (In Chinese).

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