| 查看: 593 | 回复: 3 | |||
| 当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖 | |||
[交流]
请帮忙查查ei是否检索，检索号是多少？ 已有3人参与
|
|||
|
哪位能否帮忙查查文章是否检索,检索号是多少？ 题目: Predication of Sediment Yield Using Wavelet－Neural Networks 作者：Chuan-an Yao, Yong-chang Yu |
回复此楼» 猜你喜欢
最近几年招的学生写论文不引自己组发的文章
已经有11人回复
-
写了一篇“相变储能技术在冷库中应用”的论文，论文内容以实验为主，投什么期刊合适？
已经有4人回复
-
需要合成515-64-0，50g，能接单的留言
已经有3人回复
-
中科院杭州医学所招收博士生一名（生物分析化学、药物递送）
已经有3人回复
-
临港实验室与上科大联培博士招生1名
已经有8人回复
-
26申博自荐
已经有7人回复
-
想换工作。大多数高校都是 评职称时 认可5年内在原单位取得的成果吗？
已经有4人回复
-
带资进组求博导收留
已经有9人回复
★
小木虫: 金币+0.5, 给个红包，谢谢回帖
小木虫: 金币+0.5, 给个红包，谢谢回帖
|
本帖内容被屏蔽 |
4楼2017-05-24 10:10:22
xthan
木虫 (正式写手)
- 应助: 1 (幼儿园)
- 金币: 9304.7
- 散金: 1010
- 红花: 2
- 帖子: 857
- 在线: 327.1小时
- 虫号: 895448
- 注册: 2009-11-06
- 性别: GG
- 专业: 电气科学与工程
★
yca(金币+5): 2010-06-17 09:55:00
xiaogounihao(金币+1):谢谢 2010-06-17 15:23:44
yca(金币+5): 2010-06-17 09:55:00
xiaogounihao(金币+1):谢谢 2010-06-17 15:23:44
|
Accession number: 20102312991925 Title: Predication of sediment yield using wavelet - Neural networks Authors: Yao, Chuan-An1 ; Yu, Yong-Chang1 Author affiliation: 1 College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China Corresponding author: Yao, C.-A. (ycagl@163.com) Source title: 2010 International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010 Abbreviated source title: Int. Conf. Meas. Technol. Mechatronics Autom., ICMTMA Volume: 2 Monograph title: 2010 International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010 Issue date: 2010 Publication year: 2010 Pages: 911-914 Article number: 5459971 Language: English ISBN-13: 9780769539621 Document type: Conference article (CA) Conference name: International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010 Conference date: March 13, 2010 - March 14, 2010 Conference location: Changsha, China Conference code: 80501 Sponsor: Changsha University of Science and Technology; Hunan University of Science and Technology; IEEE Instrumentation and Measurement Society; City University of Hong Kong Publisher: IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract: Accurate prediction of watershed sediment yield is important for ecological environment and water resources engineering. Based on the advantages of wavelet analysis and neural networks, a new hybrid model of wavelet transform and BP neural network (wavelet-neural network model, WANN) for predicting the sediment yield, has been suggested in this paper. The established WANN model is applied to make quantitative prediction of annual sediment yield for Hepinggou's small watershed, located in the southwest of China's Henan Province. First, the annual sediment yield time series is decomposed and reconstructed into the low-frequency component and the high-frequency components at one-scale level by db2 wavelet, and then both are forecasted respectively with BP neural networks. Finally, the sum of two parts is the predicting result of the annual sediment yield. Results show that the suggested model can improve the forecasting accuracy; it can also be successfully applied to prediction of hydrological time series. © 2010 IEEE. Number of references: 7 Main heading: Neural networks Controlled terms: Forecasting - Landforms - Mechatronics - Sedimentology - Speech recognition - Time series - Water resources - Watersheds - Wavelet analysis - Wavelet transforms Uncontrolled terms: Accurate prediction - BP neural networks - Ecological environments - Forecasting accuracy - Henan Province - High frequency components - Hybrid model - Hydrological time-series - Low-frequency components - Neural network model - Prediction - Quantitative prediction - Sediment yields - Small watersheds Classification code: 723.5 Computer Applications - 731.7 Mechatronix - 751.5 Speech - 922.2 Mathematical Statistics - 912.2 Management - 921 Mathematics - 921.3 Mathematical Transformations - 913.4 Manufacturing - 723.4 Artificial Intelligence - 723.2 Data Processing and Image Processing - 444 Water Resources - 444.1 Surface Water - 461.1 Biomedical Engineering - 481.1 Geology - 608 Mechanical Engineering, General - 703.2.1 Electric Filter Analysis DOI: 10.1109/ICMTMA.2010.794 Database: Compendex Compilation and indexing terms, © 2009 Elsevier Inc. |
2楼2010-06-17 09:52:08
3楼2010-06-17 10:07:15