| 基于人工神经网络的振动削波数据恢复 |
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| 引用本文： | 张玮,吴亚锋,高冰.基于人工神经网络的振动削波数据恢复[J].噪声与振动控制,2007,27(6):62-64. |
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| 作者姓名： | 张玮 吴亚锋 高冰 |
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| 作者单位： | Northwestern Polytechnical University，Xi'an 710072，China |
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| 摘 要： | 数据削波是工程测试中经常遇到的问题,基于人工神经网络方法,利用被测数据中的正确信息,通过建模、函数逼近等处理,对削波数据进行恢复。实际处理分析表明,方法能够较好地恢复被削波信息。
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| 关 键 词： | 振动与波 削波数据 BP神经网络 |
| 文章编号： | 1006-1355（2007）06-0062-03 |
| 收稿时间： | 2007-02-02 |
| 修稿时间： | 2007-03-26 |
Resumption of Vibrant Dele-data Based on Artificial Neural Network |
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| ZHANG Wei,WU Ya-feng,GAO Bing.Resumption of Vibrant Dele-data Based on Artificial Neural Network[J].Noise and Vibration Control,2007,27(6):62-64. |
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| Authors: | ZHANG Wei WU Ya-feng GAO Bing |
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| Abstract: | The phenomenon of dele-data is a familiar problem in the engineering's testing.Based on the artificial neural network,using the right information in the dele-data and through modelling and func- tion approaching,it can forecast regularity of dele-data and resume dele-data.This method is used to re- sume the vibrant dele-data of a plane.The result shows it is satisfactory. |
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| Keywords: | Matlab |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
