A prediction method of power energy saving potential based on rough set neural network

被引：0

作者：

Li, Jinying ^{[1
]}

Wei, Yajun ^{[1
]}

Li, Jinchao ^{[1
]}

Zhao, Yuzhi ^{[1
]}

机构：

[1] N China Elect Power Univ, Econ Management Dept, Baoding 071003, Peoples R China

来源：

FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE, PTS 1-4 | 2011年 / 44-47卷

关键词：

rough set; neural network; ROSETTA; power energy saving potential; prediction;

D O I：

10.4028/www.scientific.net/AMM.44-47.3795

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Power industry is the key field of implementing energy saving and pollutant emission reduction in china, strengthen power energy saving is helpful to establish a resource-saving and environment-friendly society and promote a sustainable development of economic society. This paper synchronizes respective advantages of rough set and neural network, puts forward a prediction model-RSBPNN which uses rough set knowledge reduction method to prune the redundant and neural network to build a forecasting model.

引用

页码：3795 / 3799

页数：5

共 12 条

[1] Prediction of SARS epidemic by BP neural networks with online prediction strategy
Bai, YP
Jin, Z
[J]. CHAOS SOLITONS & FRACTALS, 2005, 26 (02) : 559 - 569
[2] Chen Chengzhang, 2004, POWER DEMAND SIDE MA, V6, P2
[3] Duntsch I., 2000, Encyclopedia of Computer Science and Technology, P282
[4] Discerning landslide susceptibility using rough sets
Gorsevski, Pece V.
Jankowski, Piotr
[J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2008, 32 (01) : 53 - 65
[5] BP neural network prediction of the mechanical properties of porous NiTi shape memory alloy prepared by thermal explosion reaction
Li, Q
Yu, JY
Mu, BC
Sun, XD
[J]. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2006, 419 (1-2): : 214 - 217
[6] Li QD, 2002, 2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, P1148, DOI 10.1109/ICMLC.2002.1167380
[7] Mining classification rules using rough sets and neural networks
Li, RP
Wang, ZO
[J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2004, 157 (02) : 439 - 448
[8] Lu Wei, 2004, REFRIGERATION TE APR, P18
[9] Song Wenhong, 2001, LOCOMOTIVE ROLLI OCT, P38
[10] WEN QC, 2007, COMPUTER ENG DESIGN, V28, P2652

← 1 2 →