A Neural Network Based Method to Assess Electric Power Communication Network Risk

doi:10.13190/j.jbupt.2014.01.020

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2014, Vol. 37 ›› Issue (1): 90-93.doi: 10.13190/j.jbupt.2014.01.020

• Reports • Previous Articles Next Articles

A Neural Network Based Method to Assess Electric Power Communication Network Risk

QI Feng¹, LI Qi¹, HAN Qian¹, DU Yi², QIU Xue-song¹

1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. China Electronic Systems Engineering Corporation, Beijing 100840, China

Received:2013-04-07 Online:2014-02-28 Published:2014-01-07

Abstract

Abstract:

An improved back propagation neural network algorithm based on dichotomy was proposed for assessment of electric power communication network risk. The dichotomy was used to adjust the learning rate in the training process. It helps to change the learning rate automatically to the direction of optimization. Simulation shows that the improved algorithm's performance is optimized, such as convergence rate、error accuracy and training time.

Key words: back propagation neural network, learning rate, dichotomy, electric power communication network, assessment of risk

CLC Number:

TN929.53

QI Feng, LI Qi, HAN Qian, DU Yi, QIU Xue-song. A Neural Network Based Method to Assess Electric Power Communication Network Risk[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(1): 90-93.

[1]	YANG Lihua, NIE Qian, HU Bo, JIANG Ting. Channel Prediction Method Joint BP Neural Network with Basis Expansion Model [J]. Journal of Beijing University of Posts and Telecommunications, 2023, 46(3): 13-18.
[2]	LI Duan-ling, CHENG Li-wei, YU Gong-jing, ZHANG Zhong-hai, YU Shu-yue. An Electroencephalogram Signal Processing Method Fusing Wavelet Packet and Neural Network [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(3): 94-99.
[3]	QI Tian-tian, CHEN Yao, HE Cai-hou, LONG Sheng-rong, LI Qiu-feng. A Wavelet Packet Neural Network Feature Recognition Method for Damage Acoustic Emission Signals [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(1): 124-130.
[4]	DAI Jian-yong, DENG Xian-hong, WANG Bin, WANG Heng-hao. Clustering Routing Protocol for WSNs Based on Neural Network Optimization by Improved Firefly Algorithm [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(3): 131-137.
[5]	JIANG Fang, ZHANG Nan-fei, HU Yan-jun, WANG Yi. BP Neural Network Based CSI Device-Free Target Classification Method [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(1): 40-45.
[6]	ZHAO Xiong-wen, SUN Ning-yao, GENG Sui-yan, ZHANG Yu, DU Fei. Time-Varying Channel Modeling Using Least Square Support Vector Machine [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(5): 29-35.
[7]	WEI Rui-dong, YU Peng, GAO Song, ZHAO Pu-yuan, LI Wen-jing. Multiple Ant Colony Algorithm-Based Routing Method in the Power Communication Network [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(s1): 89-92.
[8]	YAO Yun-zheng, YANG An, SHI Zhi-qiang, SUN Li-min. Application of BP Neural Network Model in Device State Detection of Industrial Control System [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(s1): 14-18.
[9]	HU Yan-zhu, LI Lei-yuan. The Application of Kalman Filtering-BP Neural Network in Autonomous Positioning of End-Effector [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(6): 110-115.
[10]	WANG Kai-xuan, YANG Zheng, QIU Xue-song. Algorithm of Fault Locating on Impact Analysis in Power Communications Network [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(s1): 55-59.
[11]	WU Chun, JIANG Hong, YI Ke-chu. Cognitive Radio Resource Allocation by Clustering Multi-Agent Enforcement Learning [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(1): 80-84.
[12]	ZHANG Lei;CHEN Jun-liang;MENG Xiang-wu;SHEN Xiao-yan;DUAN Kun. BP Neural Networks-Based Collaborative Filtering Recommendation Algorithm [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2009, 32(6): 42-46.
[13]	YU Yan-hua, SONG Mei, PAN Yang-fa, SONG Jun-de . An Improved Network Performance Evaluation Method Based on Support Vector Machines [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2007, 30(6): 85-88.

A Neural Network Based Method to Assess Electric Power Communication Network Risk

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 13

Recommended Articles

Metrics

Comments