[1]王会敏,李腾飞,刘洋,等.基于MDE和分形优化SVM的周期来压预测[J].中国安全生产科学技术,2015,11(1):77-83.[doi:10.11731/j.issn.1673-193x.2015.01.013]
WANG Hui-min,LI Teng-fei,LIU Yang,et al.The prediction of periodic weighting based on Multiple-Differential Evolution and Support Vector Machine optimized by fractal dimension[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(1):77-83.[doi:10.11731/j.issn.1673-193x.2015.01.013]
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基于MDE和分形优化SVM的周期来压预测
WANG Hui-min,LI Teng-fei,LIU Yang,et al.The prediction of periodic weighting based on Multiple-Differential Evolution and Support Vector Machine optimized by fractal dimension[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(1):77-83.[doi:10.11731/j.issn.1673-193x.2015.01.013]
《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]
- 卷:
- 11
- 期数:
- 2015年1期
- 页码:
- 77-83
- 栏目:
- 职业安全卫生管理与技术
- 出版日期:
- 2015-01-30
文章信息/Info
- Title:
- The prediction of periodic weighting based on Multiple-Differential Evolution and Support Vector Machine optimized by fractal dimension
- Keywords:
- multiple-differential evolution; fractal geometry method; support vector machine; periodic weighting prediction
- 分类号:
- X936
- 文献标志码:
- A
- 摘要:
- 为了解决周期来压的预测问题，首先对已知支架周期来压荷载曲线使用多重差异进化算法（MDE）进行拟合，将每重拟合形成的单一正弦曲线与上次差余曲线（Ei）再作差余曲线(Ei+1)。将这些Ei图通过分形几何的盒子法计算维度和相关系数（r）。将每条Ei的维度、r和支架相对距离(L)作为输入值，对应的Ei的周期Ti、缩放系数Si和纵移系数Di作为目标值，使用支持向量机（SVM）进行训练。通过对维度和r规律的研究得到拟设置支架处荷载各Ei的维度和r，带入训练后的SVM模拟得到Ei的Ti、Si和Di，进而得到Ei的表达式。将上述Ei求和即为所求拟设置支架处的周期来压荷载。实例分析说明，该种方法预测结果可以大体反映支架周期来压的基本形式和变化规律。
- Abstract:
- In order to predict the periodic pressure load, the known support periodic pressure load is fitted with multiple difference evolutionary algorithm (MDE), the difference between every single sine curve fitted and last difference curve (Ei) form this time difference curve (Ei+1). The Ei curves are calculated with the fractal geometry method to obtain box dimension and box radius (r). Each Eicurve dimension, r and support relative distance (L) as input value, the corresponding curve of the periodic (Ti), zooming coefficient (Si) and the longitudinal shift coefficient (Di) as target value, the support vector machine (SVM) is trained. Based on the research on the laws of the dimensions and r to get the periodic weighting load in the planning position, with these parameters,Ti,Si,Diof Ei can be obtained by SVM trained and expression of Ei is formed . The sum of Ei is the periodic pressure load in the planning support position. Example analysis shows that the method can reflect the basic form of the periodic weighting load and change law.
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