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水中青蛙金蟲 (正式寫手)
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[求助]
看看我的這篇檢索了嗎~
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沒有檢索的數(shù)據(jù)庫，大家?guī)兔Π蓗 篇名：Improved BP neural network 期刊：AMM V.401-403 |
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水中青蛙: 金幣+13, ★★★★★最佳答案, 真有關(guān)注，持續(xù)幫助我的人，交個(gè)朋友吧，金幣奉上！ 真心感謝 2013-11-26 22:51:09
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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. |
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