| 径向基函数神经网络实现数字地图压缩 |
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| 引用本文： | 冯旭,李树明.径向基函数神经网络实现数字地图压缩[J].西北轻工业学院学报,2003,21(1):77-80. |
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| 作者姓名： | 冯旭 李树明 |
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| 作者单位： | [1]西北民族学院网络中心，甘肃兰州730030 [2]陕西科技大学机电工程学院，陕西咸阳712081 |
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| 摘 要： | 提出了一种基于径向基函数(RBF)神经网络的数字地图压缩方法，给出了网络训练的具体算法。与一般RBF网络的构造方法不同，该网络结构的所有参数是通过学习方式同时获得的，因此大大增强了其适应性。数字仿真表明该方法具有自动适应地形、参数配置合理、在线计算量小等特点。
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| 关 键 词： | 径向基函数 神经网络 数字地图 压缩方法 网络训练 |
| 文章编号： | 1000-5811(2003)01-0077-04 |
| 修稿时间： | 2002年9月1日 |
COMPRESSION OF DIGITAL MAP BASED ON RBF NETWORK |
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| FENG Xu ,LI Shu ming.COMPRESSION OF DIGITAL MAP BASED ON RBF NETWORK[J].Journal of Northwest University of Light Industry,2003,21(1):77-80. |
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| Authors: | FENG Xu LI Shu ming |
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| Affiliation: | FENG Xu 1,LI Shu ming 2 |
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| Abstract: | This paper presents a RBF neural network model and the algorithm of network learning which are suitable for the compression of digital map. The construction of this model is different from that of ordinary ones in that it constitutes all network parameter synchronously via learning, hence the applicability of it is strengthened greatly. This method possesses several characteristics such as adaptation to terrain, rational parameter collocation and low calculation cost by simulations. |
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| Keywords: | digital map radius basis function neural network technique |
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