多类智能终端基于灰色关联度的WKNN定位效果分析

为了解决WiFi指纹定位中遇到不同智能终端定位时产生的定位精度下降问题,针对多类智能终端情况,研究了以灰色关联度替代欧氏距离的改进加权K最近邻算法(WKNN)的改进效果,并进行了不同设备的定位实验。结果表明,对多类智能终端进行WiFi定位时,相较于传统WKNN算法,基于灰色关联度的改进WKNN算法在定位精度和普适性上均有很大提升。     

Climatic Characteristics of Binary Tropical Cyclones in the Northwest Pacific Ocean

Based on typhoon best track data of China Meteorological Administration and NCEP global reanalysis data, this study analyzed the characteristics of binary tropical cyclones (TC) in the Northwest Pacific Ocean during 1951 to 2014 by using the objective determine standard. When the distance between the two TCs d≤ 1 800 km, they are defined as binary tropical cyclones or binary typhoons. And binary typhoons are divided into two different types which are typical binary typhoons and atypical binary typhoons. The climatic characteristics of binary tropical cyclones are as follows: There were 699 pairs of binary typhoons in Northwest Pacific Ocean during 1951 to 2014. In these cases, there were 446 pairs of typical binary typhoons and 253 pairs of atypical cases, occupying 63.8% and 36.2%, respectively. The proportion of typical cases increased with the shortest distance decreasing, while the proportion of atypical cases decreased with the shortest distance decreasing. When the speed of typical binary typhoons moving towards each other reached the peak, binary typhoons mainly showed the east to west direction. At this time, typhoons were controlled by easterly stream of the southern edge of the subtropical high. In this situation, the east typhoon moved toward the west typhoon quickly. When the anticlockwise angular velocity of typical binary typhoons reached the peak, binary cases distributed northeast to southwest or east-northeast to west-southwest, appearing in west and southwest edge of the subtropical high and mainly being controlled by southeasterly stream, thus benefiting the anticlockwise rotation between the typical binary typhoons.     

基于灰色关联和相关向量机的隧道地表沉降预测

基于灰色关联算法确定与地表沉降有直接重要关联的主要影响因子,构建高斯核函数和多项式核函数的加权核函数,利用遗传算法优化模型参数,建立相关向量机地表沉降预测模型。实验结果表明,灰色关联算法能定量地反映系统影响因子与地表沉降变化的关联程度,有效处理不是完全明确的灰色系统信息;加权核函数的合理组合可较好地通过低维空间线性不可分映射变换到高维特征空间线性可分;遗传算法具有计算过程简单和自适应迭代寻优特点;相关向量机模型可极大地减少核函数的计算量,计算过程和结果均具有概率解释。该模型预测结果的多项精度指标值均优于BP神经网络和GR-SVM方法。     

塔里木河下游区域水面蒸发影响因子敏感性分析

水面蒸发敏感因素的判断,对于干旱区水资源的规划与利用具有重要指导意义。本文以新疆塔里木河下游铁干里克气象站资料为例,对研究区水面蒸发影响因素进行分析。文章首先采用熵值法对水面蒸发进行敏感性分析,在此基础上运用灰色关联分析法进行验证。结果表明:温度、风速、日照时数这三因素对水面蒸发最为敏感;基于熵值法的敏感因素研究结果与灰色关联分析的结果基本一致,尤其在主要影响因素的判别上。研究结果干旱区水资源规划与利用提供了一种新方法和新思路。