张凯, 赵建虎, 施闯, 张海涛. BP神经网络用于水下地形适配区划分的方法研究[J]. 武汉大学学报 ( 信息科学版), 2013, 38(1): 56-59.
引用本文: 张凯, 赵建虎, 施闯, 张海涛. BP神经网络用于水下地形适配区划分的方法研究[J]. 武汉大学学报 ( 信息科学版), 2013, 38(1): 56-59.
ZHANG Kai, ZHAO Jianhu, SHI Chuang, ZHANG Haitao. Study on Classification of Matching Area of Underwater Topography Based on BP Neural Network[J]. Geomatics and Information Science of Wuhan University, 2013, 38(1): 56-59.
Citation: ZHANG Kai, ZHAO Jianhu, SHI Chuang, ZHANG Haitao. Study on Classification of Matching Area of Underwater Topography Based on BP Neural Network[J]. Geomatics and Information Science of Wuhan University, 2013, 38(1): 56-59.

BP神经网络用于水下地形适配区划分的方法研究

Study on Classification of Matching Area of Underwater Topography Based on BP Neural Network

  • 摘要: 为确保背景场中最优适配航线设计的正确性以及水下地形匹配导航的可靠性,提出了一种基于BP神经网络的背景场适配/误配区自动识别和划分方法,该方法通过分析地形背景场特征参量显著性和主成分、构建BP神经网络、建立输入地形特征参量与匹配性能的映射关系,最终实现了地形背景场误配/适配区的自动识别和划分。试验验证了本方法的有效性。

     

    Abstract: In this paper,a new method for recognition and classification of matching background area and unmatching area,base on BP neural network,is proposed,aimed on unmatching phenomenon problem in terrain matching navigation.Firstly,statistics of the background area is researched and the statistical parameters with higher significance are given;secondly,BP neural network is studied,and the statistical parameters as mentioned above are used as input to train the BP network;finally,base on the relationship between statistical parameters and the precision of matching,the self-recognition and classification of matching are implemented with a good result.

     

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