[1]聂伟荣,朱继南,赵玉霞.基于改进BP网络的地震动信号目标识别[J].南京理工大学学报(自然科学版),2000,(01):20-23.
　NieWeirong ZhuJinan ZhaoYuxia.Microseismic Signal Targets Identification Based on Improved BP Neural Networks[J].Journal of Nanjing University of Science and Technology,2000,(01):20-23.
点击复制

基于改进BP网络的地震动信号目标识别()
分享到：

《南京理工大学学报》（自然科学版）[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2000年01期
页码:
20-23
栏目:
出版日期:
2000-02-28

文章信息/Info

Title:
Microseismic Signal Targets Identification Based on Improved BP Neural Networks
作者:
聂伟荣; 朱继南; 赵玉霞
南京理工大学机械学院, 南京210094
Author(s):
NieWeirong ZhuJinan ZhaoYuxia
School of Mechanics,NUST, Nanjing 210094
关键词:
神经网络;  模式识别;  小波变换;  地震动信号;  小波包
Keywords:
neural networks;  pat tern recognit ion;  wavelet s transform;  seismic sig nals; w avelet s package
分类号:
P315
摘要:
应用人工神经网络进行目标识别是当前模式识别的重要方法之一。前向多层神经网络及其BP算法是发展较为成熟的一种。该文对BP算法加以改进 ,使得其性能有所提高 ,收敛速度加快。针对战场监视传感器系统中处于一级警戒的地震动传感器 ,对在良好土质地面实测的人员脚步、汽车、坦克的地震动信号进行分析 ,利用小波变换和小波包分解提取能量特征 ,采用两级级连网络进行目标识别 ,识别率在 94.5 %以上
Abstract:
It is one of the important methods of pat tern recognit ion to apply neural netw orks to target classificat ion. Forw ard propagat ion mult-i layers neural networks and it s BP a-l gorithm are used w idely . In this art icle, some measures are taken to improve BP algorithm, and to make its performance bet ter and it s convergence speed quicker. The seismic sensor is an essential sensor in bat tlefield w atching system. By test ing, a g reat number of seismic sig nals are obtained on footsteps, w heeled-vehicle and tank. These signals are processed using w avelets transform and w avelets package. The energy spectrum features of these signals are ex tracted, and tw o series connected BP neural networks ident ify them. The results of 94. 5% proper ident ification are at tained.

参考文献/References:

1 徐佩霞, 孙功宪. 小波分析与应用实例. 合肥: 中国科学技术出版社. 1996
2 黄得双. 神经网络模式识别系统理论. 北京: 电子工业出版社. 1996
3 郁文贤. 军事电子信息处理中的人工神经网络技术. 国防科技大学学报, 1998, 20( 3) : 92~ 98
4 赵玉霞. 多传感器监视系统的目标识别: [ 硕士学位论文] . 南京: 南京理工大学, 1999

相似文献/References:

[1]何春梅,叶征春,韩牟,等.形态双向联想记忆网络的摄动鲁棒性研究[J].南京理工大学学报(自然科学版),2011,(05):664.
　HE Chun-mei,YE Zheng-chun,HAN Mu,et al.Perturbation Robustness of Morphological Bidirectional Associative Memories Networks[J].Journal of Nanjing University of Science and Technology,2011,(01):664.
[2]刘永建,朱剑英,曾捷,等.改进BP神经网络在发动机性能趋势分析和故障诊断中的应用[J].南京理工大学学报(自然科学版),2010,(01):24.
　LIU Yong-jian,ZHU Jian-ying,ZENG Jie.Improved BP Neural Network System for Engine Performance Trend Analysis and Fault Diagnosis[J].Journal of Nanjing University of Science and Technology,2010,(01):24.
[3]邓敏,韩玉启.基于数据推理和模式识别的财务困境预警模型[J].南京理工大学学报(自然科学版),2009,(06):833.
　DENG Min,HAN Yu-qi.Pre-warning Model of Financial Distress Based on Calculus Derivation and Pattern Recognition[J].Journal of Nanjing University of Science and Technology,2009,(01):833.
[4]黄俊,徐越兰.碳钢焊条熔敷金属力学性能非线性神经网络组合预测[J].南京理工大学学报(自然科学版),2012,36(05):800.
　HUANG Jun,XU Yue-lan.Nonlinear Combination Prediction of Mechanical Properties of CarbonSteel Electrode Deposited Metal Based on Neural Network[J].Journal of Nanjing University of Science and Technology,2012,36(01):800.
[5]袁军堂,夏玲玲,汪振华,等.灌胶结合面对数控机床动态性能影响研究[J].南京理工大学学报(自然科学版),2012,36(06):0.
　YUAN Jun tang,XIA Ling ling,WANG Zhen hua,et al.Impact of Glued Joint on Dynamic Characteristics of CNC Machine Tool[J].Journal of Nanjing University of Science and Technology,2012,36(01):0.
[6]朱 红,陈清华,刘国岁.高速神经网络HS-K-WTA-2的研究[J].南京理工大学学报(自然科学版),2007,(01):89.
　ZHU Hong,CHEN Qing-hua,LIU Guo-sui.High-speed Neural Network HS-K-WTA-2[J].Journal of Nanjing University of Science and Technology,2007,(01):89.
[7]邵黎,杨余旺.利用优化方法求解线性鉴别方程[J].南京理工大学学报(自然科学版),2005,(06):745.
　SHAO Li,YANG Yu-wang.Using Optimization Method to Solve Linear Discriminant Equations[J].Journal of Nanjing University of Science and Technology,2005,(01):745.
[8]都洪基,苏炜宏,邓烽.一种基于神经网络的谐波电流抑制方法[J].南京理工大学学报(自然科学版),2003,(01):28.
　DuHongji SuWeihong DengFeng.Adaptive Approach to Detection of the Harmonic Currents on Artificial Neural Network[J].Journal of Nanjing University of Science and Technology,2003,(01):28.
[9]束婷婷,甘岚,杨静宇.求解统计不相关的最佳鉴别矢量的统一算法[J].南京理工大学学报(自然科学版),2002,(03):290.
　ShuTingting GanLan YangJingyu.A Unified Algorithm for the Computation of Statistically Uncorrelated Optimal Discriminant Vectors[J].Journal of Nanjing University of Science and Technology,2002,(01):290.
[10]孙怀江,杨静宇.λ-模糊测度辨识方法研究[J].南京理工大学学报(自然科学版),2001,(01):44.
　SunHuaijiang YangJingyu.A Study on Identification Methods of λ-Fuzzy Measures[J].Journal of Nanjing University of Science and Technology,2001,(01):44.

备注/Memo

备注/Memo:
聂伟荣 女 30 岁 博士生
更新日期/Last Update: 2013-03-25