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nutrilite金蟲 (著名寫手)
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怎么看一篇論文是被SCI還是ISTP收錄？ 已有3人參與
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在web of science 里怎么看一篇論文是被SCI還是ISTP收錄？下面這篇算么 A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction Author(s): Widiputra H (Widiputra, Harya)1, Kho H (Kho, Henry), Lukas (Lukas), Pears R (Pears, Russel)1, Kasabov N (Kasabov, Nikola) Editor(s): Leung CS; Lee M; Chan JH Source: NEURAL INFORMATION PROCESSING, PT 2, PROCEEDINGS Book Series: Lecture Notes in Computer Science Volume: 5864 Pages: 114-121 Published: 2009 Times Cited: 0 References: 9 Conference Information: 16th International Conference on Neural Information Processing (ICONIP 2009) King Mongluts Univ Technol Thonburi, Sch Informat Technol, Bangkok, THAILAND, DEC 01-05, 2009 Asia Pacific Neural Network Assembly; Int Neural Network Soc; Japanese Neural Network Soc; European Neural Network Soc; IEEE Computat Intelligence Soc Abstract: Time-series prediction has been a very well researched topic in recent studies. Some popular approaches to this problem are the traditional statistical methods e.g. multiple linear regression and moving average, and neural network with the Multi Layer Perceptron which has shown its supremacy in time-series prediction. In this study, we used a different approach based on evolving clustering algorithm with polynomial regressions to find repeating local patterns in a time-series data. To illustrate chaotic time-series data we have taken into account the use of stock price data from Indonesian stock exchange market and currency exchange rate data. In addition, we have also conducted a benchmark test using the Mackey Glass data set. Results showed that the algorithm offers a considerably high accuracy in time-series prediction and could also reveal repeating patterns of movement from the past. Document Type: Proceedings Paper Language: English Author Keywords: evolving clustering algorithm; polynomial regression; chaotic time-series data KeyWords Plus: DISCOVERY Reprint Address: Widiputra, H (reprint author), Auckland Univ Technol, Knowledge Engn & Discovery Res Inst, Auckland, New Zealand Addresses: 1. Auckland Univ Technol, Knowledge Engn & Discovery Res Inst, Auckland, New Zealand E-mail Addresses: harya.widiputra@aut.ac.nz, henry@student.sgu.ac.id, lukas@atmajaya.ac.id, russel.pears@aut.ac.nz, nikola.kasabov@aut.ac.nz Publisher: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY IDS Number: BPM40 ISSN: 0302-9743 ISBN: 978-3-642-10682-8 [ Last edited by nutrilite on 2010-9-8 at 13:25 ] |
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2樓2010-09-08 10:23:57
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3樓2010-09-08 11:21:26
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區(qū)分SCI和ISTP檢索的方法 http://www.gaoyang168.com/bbs/viewthread.php?tid=1219781 |
4樓2010-09-08 12:10:19
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5樓2010-09-08 13:07:00
nutrilite
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6樓2010-09-08 13:27:24
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“SCI、EI和ISTP收錄號的查詢方法（總結(jié)）”： http://www.gaoyang168.com/bbs/viewthread.php?tid=660421 “GA BHE43 ”這欄里的“BHE43”字母在前數(shù)字在后就是ISTP檢索，如果數(shù)字在前字母在后就是SCI檢索。當(dāng)然要注意一個特殊的情況，有些會議文章被期刊收錄后，即使該期刊是SCI檢索，查詢檢索時“GA BHE43 ”這欄里的“BHE43”情形還是和ISTP檢索類似，即字母在前數(shù)字在后。 [ Last edited by dmfang on 2010-9-8 at 14:01 ] |
7樓2010-09-08 13:59:55
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8樓2012-04-19 18:25:54
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