中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2012, Vol. 31 ›› Issue (2): 261-263.DOI: 10.3969 /j.issn.1674-0696.2012.02.21

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Data Processing of Soil Compaction Degree of Vibratory Roller Based on Neural Network

Xiang Liang,Cao Yuanwen,Yi Fei   

  1. School of Electromechanical & Automotive Engineering,Chongqing Jiaotong University,Chongqing 400074,China
  • Received:2011-09-03 Revised:2011-10-10 Online:2012-04-15 Published:2014-10-31

基于神经网络的振动压路机土壤压实度数据处理

向亮,曹源文,易飞   

  1. 重庆交通大学机电与汽车工程学院,重庆400074
  • 作者简介:向亮( 1985 - ) ,男,湖北武穴人,硕士研究生,主要从事机械设计及理论方面的研究。E-mail: xiangliangtmjg@163. com。
  • 基金资助:
    重庆交通大学校内基金( 09 - 1 - 019)

Abstract: The relationship of the vibration acceleration and the degree of soil compaction in vibratory rollers vibration acceleration synchronous detection is studied by the data processing of BP neural network. The results indicate that the vibration acceleration and the degree of soil compaction is a positive correlation,but is not a linear relationship. It is very good for reflecting the nonlinear relations between them by the nonlinear mapping of BP neural network.

Key words: vibration acceleration, soil compaction degree, synchronous detection, BP neural network

摘要: 应用BP 神经网络数据处理,研究在振动压路机振动加速度实时检测中,振动加速度与土壤压实度之间的关 系。研究结果表明: 振动加速度与土壤压实度之间是正相关的,但并不是线性关系| 通过BP 神经网络的非线性映射 可以很好的映射二者之间的关系。

关键词: 振动加速度, 土壤压实度, 实时检测, BP 神经网络

CLC Number: