| 基于支持向量机的船舶上层建筑纵向振动特性预报 |
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| 引用本文： | 殷玉梅,赵德有,崔洪宇,洪明.基于支持向量机的船舶上层建筑纵向振动特性预报[J].中国造船,2011(3). |
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| 作者姓名： | 殷玉梅 赵德有 崔洪宇 洪明 |
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| 作者单位： | 大连理工大学船舶工程学院; |
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| 摘 要： | 根据支持向量机具有小样本学习、全局寻优和泛化能力强等特点,应用支持向量机对船舶上层建筑整体纵向振动固有频率进行预测。通过对船舶上层建筑整体振动特性的分析,以23条船的船舶主尺度、上层建筑的层数、类型以及上层建筑各层的长度、宽度和高度作为支持向量机的输入数据,上层建筑整体纵向振动固有频率实测值作为支持向量机的输出数据,建立了船舶上层建筑整体纵向振动固有频率的非线性回归模型。应用此模型对5条船的上层建筑整体纵向振动固有频率进行预测,预测值与实测值接近。这证明本文方法是可行的,为船舶上层建筑整体纵向振动固有频率预报提供了一种新思路。
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| 关 键 词： | 船舶上层建筑 固有频率 支持向量机 振动预报 |
Prediction of the Superstructure's Overall Longitudinal Vibration Based on SVM Method |
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| YIN Yu mei,ZHAO Deyou,CUI Hongyu,HONG Ming.Prediction of the Superstructure's Overall Longitudinal Vibration Based on SVM Method[J].Shipbuilding of China,2011(3). |
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| Authors: | YIN Yu mei ZHAO Deyou CUI Hongyu HONG Ming |
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| Institution: | YIN Yu mei,ZHAO Deyou,CUI Hongyu,HONG Ming (School of Naval Architecture Engineering,Dalian University of Technology,Dalian 116085,China) |
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| Abstract: | Natural frequency of superstructure's overall longitudinal vibration is predicted with Support Vector Machine(SVM),which possesses many characteristics such as small sample learning,global optimization and strong generalization.A nonlinear regression model of natural frequency of superstructure's overall longitudinal vibration is put forward based on the analysis of overall vibration characteristics of superstructure,with principal dimensions,layer numbers and types of superstructures,length,width and heigh... |
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| Keywords: | superstructure natural frequency Support Vector Machine vibration prediction |
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