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水中青蛙

金虫 (正式写手)

[求助] 看看我的这篇检索了吗~

没有检索的数据库,大家帮忙吧~

      篇名:Improved BP neural network
      期刊:AMM    V.401-403
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mis97

至尊木虫 (文坛精英)

这篇论文的题目好大!!
2楼2013-11-16 12:29:31
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水中青蛙

金虫 (正式写手)

引用回帖:
2楼: Originally posted by mis97 at 2013-11-16 12:29:31
这篇论文的题目好大!!

发过一次求助查询,现在说重复不让发呀~


篇名:Improved BP neural network in diagnosis of nonlinear fault
      期刊:AMM    V.401-403
3楼2013-11-16 21:39:19
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孔老三

铁杆木虫 (著名写手)

【答案】应助回帖

没有,一般会议举行后三个月才能检索
4楼2013-11-17 15:23:07
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eiforjournal

铁虫 (小有名气)

【答案】应助回帖

★ ★
水中青蛙: 金币+2, ★★★很有帮助, 帮我看着啊,有消息留个言~ 2013-11-18 19:03:23
Improved BP neural network,该论文目前没有被检索,请楼主耐心等待!
5楼2013-11-18 18:10:54
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weiwenkong

铜虫 (小有名气)

【答案】应助回帖

★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★
水中青蛙: 金币+13, ★★★★★最佳答案, 真有关注,持续帮助我的人,交个朋友吧,金币奉上! 真心感谢 2013-11-26 22:51:09
Accession number:  20134516959785

  Title:  Improved BP neural network in diagnosis of nonlinear fault
  Authors:  Xu, Bin1 ; Shen, Xiao Ju2; Xue, Wei Ning3  
  Author affiliation:  1 Department of Mechanical-Electrical Engineering, North China Institute of Science and Technology, Sanhe, 065201, China  
   2 Department of Management, North China Institute of Science and Technology, Sanhe, 065201, China  
   3 Department of Electronic and Information Engineering, North China Institute of Science and Technology, Sanhe, 065201, China  
  Source title:  Applied Mechanics and Materials
  Abbreviated source title:  Appl. Mech. Mater.
  Volume:  401-403
  Monograph title:  Frontiers of Manufacturing Science and Measuring Technology III
  Issue date:  2013
  Publication year:  2013
  Pages:  1055-1058
  Language:  English
  ISSN:  16609336  
  E-ISSN:  16627482  
  ISBN-13:  9783037858462  
  Document type:  Conference article (CA)
  Conference name:  3rd International Conference on Frontiers of Manufacturing Science and Measuring Technology, ICFMM 2013
  Conference date:  July 30, 2013 - July 31, 2013
  Conference location:  LiJiang, China
  Conference code:  100431  
  Sponsor:  Control Engineering and Information Science; Research Association; International Frontiers of science and technology; Research Association; Trans Tech Publications; Chin-Yi University of Technology
  Publisher:  Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland
  Abstract:  According to the nonlinear characteristics of transformer fault symptoms and fault types, the application of BP neural network to the problem of transformer fault diagnosis is presented. With a characteristic of the gas content ratio as the input, fault diagnosis model is established by using MATLAB software to achieve improved Newton method. And the simulation experiments show the effectiveness of the model of fault diagnosis. © (2013) Trans Tech Publications, Switzerland.
  Number of references:  5
  Main heading:  MATLAB  
  Controlled terms:  Computer simulation  -  Failure analysis  -  Manufacture  -  Neural networks  -  Newton-Raphson method  
  Uncontrolled terms:  BP neural networks  -  Fault diagnosis model  -  Improved BP neural network  -  Matlab- software  -  Nonlinear characteristics  -  Transformer  -  Transformer fault diagnosis  -  Transformer faults  
  Classification code:  421 Strength of Building Materials; Mechanical Properties -  537.1 Heat Treatment Processes -  723.4 Artificial Intelligence -  723.5 Computer Applications -  921 Mathematics
  DOI:  10.4028/www.scientific.net/AMM.401-403.1055
  Database:  Compendex
   Compilation and indexing terms, © 2013 Elsevier Inc.
6楼2013-11-22 10:04:47
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