Vehicle trajectory modelling with consideration of distant neighbouring dependencies for destination prediction     

Chengyang Qian  Ruqiao Jiang  Yi Long  Qi Zhang  Muxian Li 《International journal of geographical information science》2019,33(10):2011-2032

Vehicle trajectory modelling is an essential foundation for urban intelligent services. In this paper, a novel method, Distant Neighbouring Dependencies (DND) model, has been proposed to transform vehicle trajectories into fixed-length vectors which are then applied to predict the final destination. This paper defines the problem of neighbouring and distant dependencies for the first time, and then puts forward a way to learn and memorize these two kinds of dependencies. Next, a destination prediction model is given based on the DND model. Finally, the proposed method is tested on real taxi trajectory datasets. Results show that our method can capture neighbouring and distant dependencies, and achieves a mean error of 1.08 km, which outperforms other existing models in destination prediction significantly.  相似文献   

An Intelligent Method for Geochemical Discrimination of Tectonic Settings of Basalt Based on Olivine Composition: GWO-SVM Method and its VerificationEI北大核心CSCD     

Ren Q.  Li M.  Li Y.  Han S.  Zhang Y.  Zhang Q. 《大地构造与成矿学》2020,(2):212-221

Geochemical discrimination of tectonic settings of basalts has been an important research direction of geochemistry for decades. Olivine is one of the earliest crystallized minerals of basaltic magma, which records a lot of hidden information of the formation and evolution of the magma. Therefore, basic elements in olivine are used to discriminate three tectonic settings, including the mid-ocean ridge basalt (MORB), ocean island basalt (OIB) and island arc basalt (IAB). However, it is still difficult to accurately discriminate the tectonic settings by using these diagrams. The machine learning algorithm is introduced to solve the aforementioned problem. The classification performance of the machine learning discrimination method largely depends on the rationality of parameter determination. To this end, the paper proposes a coupling intelligent method for geochemical discrimination of tectonic settings using olivine composition of the basalts based on the grey wolf optimizer (GWO)-optimized support vector machine (SVM), or GWO-SVM for short. GWO is used to seek the optimal parameter combination of SVM to form the optimal mapping relationship between basic elements in olivine and basalt tectonic settings, so as to realize the accurate discrimination of MORB, OIB and IAB. In addition, according to the published geochemical data of basalt samples, the discrimination performance of GWO-SVM is evaluated by means of the simulation experiment, hold-out validation and k-fold cross-validation. The evaluation results are represented by the confusion matrix and its derived evaluation indicators. The results show that GWO-SVM can discriminate the tectonic settings of the basalts based on olivine compositions with overall classification accuracy of up to 85%. Thus, in comparison with the traditional discrimination diagram method, the machine learning discrimination method based on multi-algorithm fusion can significantly improve the discrimination accuracy of basalt tectonic settings. © 2020, Science Press. All right reserved.  相似文献   

Vector method to compute the Cartesian (X, Y, Z) to geodetic ({\phi}, λ, h) transformation on a triaxial ellipsoid     

J. Feltens 《Journal of Geodesy》2009,83(2):129-137

The vector-based algorithm to transform Cartesian (X, Y, Z ) into geodetic coordinates (, λ, h) presented by Feltens (J Geod, 2007, doi:) has been extended for triaxial ellipsoids. The extended algorithm is again based on simple formulae and has successfully been tested for the Earth and other celestial bodies and for a wide range of positive and negative ellipsoidal heights.  相似文献   

土地利用空间数据尺度转换中的精度损失分析   总被引：2，自引：1，他引：1  

赵磊  孟淑英 《国土资源遥感》2009,(2):45-48,53

在地理信息系统的支持下,利用两种矢栅转换原则对土地利用空间数据进行尺度转换,并对不同栅格大小下,各种土地利用类型的精度损失特征进行了分析.研究结果表明: (1)面积最大值原则(RMA)下,栅格大小< 80 m时,其精度损失均< 2%; 中心值原则(RCC)下,栅格大小< 160 m时,其精度损失均< 2%.(2)在栅格大小为800 m时,水域在面积最大值原则下的精度损失超过50%,在中心值原则下的精度损失超过20%.(3)在空间粒度逐渐增大过程中,面积最大值原则下生成的栅格数据相对误差较大,各地类精度损失的绝对值与栅格大小之间成正相关; 中心值原则下,各地类的相对误差较小且复相关系数均很小,表现出很强的随机性.  相似文献   

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李潇  徐进军 《大地测量与地球动力学》2009,29(2):118-120

???????????????????????и?????????С???????????????????????????????LS??SVM?????????????????????????????????????????????????????????????μ???LS??SVM??????????????γ??????LS??SVM??????????????д???????????????????Ч????  相似文献   

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赵卿  李潇  徐进军  宓天跃 《大地测量与地球动力学》2008,28(2):115-119

????????????????????г?????????????????μ?????????-??????????????????????????????????????????????????????????????????????????????????????????????????????????С????????????????н???????г????????????????????Ч????á?  相似文献   

基于支持向量机理论的海水水质富营养化评价研究   总被引：13，自引：0，他引：13  

王洪礼  王长江  李胜朋 《海洋技术学报》2005,24(1):48-51

首次利用支持向量机(SVM)理论对海水水质富营养化的程度进行评价，并与BP人工神经网络方法所得结果进行比较，通过实例验证，说明SVM理论能较好地解决小样本的分类评价问题，评价效果良好，在水质评价领域有较好的应用前景。  相似文献   

3D forward modeling of vector field for induction logging problems   总被引：1，自引：0，他引：1  

M.I. Epov  E.P. Shurina  O.V. Nechaev 《Russian Geology and Geophysics》2007,48(9):770-774

TEM responses in an inhomogeneous medium are modeled in 3D using the vector finite element method for induction logging in petroleum wells. The algorithm is applied to HFIL diagrams obtained in wells that tap thinly laminated formations with regard to the true position of logging tools.  相似文献   

结构分析法在突发区域性暴雨预报中的应用          下载免费PDF全文

李明娟 《陕西气象》2007,(3):6-8

SVM是近年来数学领域的一门新学科，它的应用极为广泛，颇具发展前途。如今，SVM理论已经应用于气象预报，并在对流层中高层气象数据分类应用上效果良好，为精确预报提供了坚实基础。本文简要介绍了SVM的基本思想和在气象数据分类方面的应用及其发展前景。  相似文献   

SVM方法在扇体砂岩厚度预测中的应用     

乐友喜  王俊 《应用地球物理》2007,4(4):276-281

基于小样本学习理论的支持向量机(SVM)方法可用于建立非线性函数预测模型。利用支持向量机方法,根据样本数据采用自动拟合的方法构造核函数,使得建立的关系不仅具有较高的拟合精度,而且具有较好的推广性。地震波的频谱与其波形的关系是互为正、反傅立叶变换的关系,所以地震波的波形及其频谱是同一物理现象的两种不同的表达形式。波形特征沿纵横方向上的变化反映了地层介质在纵横方向上的差异;反射波频谱上的差异则反映了岩性和流体成分的不同以及地层厚度的变化等。直接由地震波波形预测扇体砂岩厚度,不仅充分利用了地震波信息,而且极大地提高了预测模型的准确性。模型及实例验证了该方法的适用性。  相似文献