主题:【已应助】求助ieeexplore上面的几篇文献,麻烦帮帮忙,谢谢!

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littleeinstein
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【序号】:1
【作者】:
Bingru Yang;  Wu Qu;  Yun Zhai;  Haifeng Sui;
【题名】:An approach of protein secondary structure prediction based on SVM method in compound pyramid model
【期刊】:
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference
【年、卷、期、起止页码】:2010,,,455 - 459
【全文链接】:http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5451913


【序号】:2
【作者】:
Bingru Yang;  Wu Qu;  Yun Zhai;  Haifeng Sui;
【题名】:Protein secondary structure prediction based on improved SVM method in compound pyramid model
【期刊】:
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference
【年、卷、期、起止页码】:2010,,,4405 - 4410
【全文链接】:http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5498335

【序号】:3
【作者】:
Bingru Yang;  Wu Qu;  Yun Zhai;  Haifeng Sui;
【题名】:An approach of protein secondary structure prediction based on homology analysis method in compound pyramid model
【期刊】:Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference
【年、卷、期、起止页码】:2010,,,450 - 454
【全文链接】:http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5451916

【序号】:4
【作者】:
Pezeshk, H.;  Naghizadeh, S.;  Malekpour, S.A.;  Eslahchi, C.;  Sadeghi, M.; 
【题名】:A modified bidirectional hidden Markov model and its application in protein secondary structure prediction
【期刊】:Advanced Computer Control (ICACC), 2010 2nd International Conference
【年、卷、期、起止页码】:2010,,,535 - 538
【全文链接】:http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5487140

【序号】:5
【作者】:
Liyu Lin;  Shuanqiang Yang;  Ruijuan Zuo;
【题名】:Protein secondary structure prediction based on multi-SVM ensemble
【期刊】:Intelligent Control and Information Processing (ICICIP), 2010 International Conference
【年、卷、期、起止页码】:2010,,,356 - 358
【全文链接】:http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5564201
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yilai1002
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littleeinstein
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原文由 yilai1002(yilai1002) 发表:
求助格式:
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sorry,我是新手,太匆忙了,没细看,请允许我改正。
灰米奇
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hstudent
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5 ok ok
附件:
该帖子作者被版主 eginzon10积分, 2经验,加分理由:参与应助
hstudent
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hstudent
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hstudent
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hstudent
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littleeinstein
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原文由 hstudent(hstudent) 发表:
3 o kok

真的是非常感谢你!谢谢!
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