两种算法在高铁桥墩沉降趋势中的比较

结合京沪高速铁路某工区的实测观测资料,通过应用Asaoka算法和灰色系统GM（1,1）算法对实验数据进行研究,计算理论拟合高程并与实测高程进行比较,并通过相对应模型的高程残差的比较分析,表明所选灰色系统GM（1,1）算法拟合结果较好。     

灰色模型GM（1，1）中积分参数的确定

灰色模型GM（1,1）中主要有3个参数,其中积分参数直接影响着灰色模型的短期预报,对其求解需要一个约束条件。给出了灰色模型中基于一次累加序列约束和基于原始序列约束条件下积分参数的确定方法,并通过实际算例进行了比较。结果表明,总体而言,不同准则下获取的c值对短期预报结果相差较小,实际应用中可以采用最常用、最简单的过第一点准则来确定。     

灰色理论和多项式拟合在地表沉降监测中的应用

采用GM（1,1）模型和多项式拟合的数值处理方法并使用MATLAB编程计算,对比了两种模型在预测矿区地表沉降中的有效性和精确性,对于提高信息预测的精度和准确度有积极的意义。     

Geometrically modeling 2D scattered points: a review of the potential for methodologically improving mobile laser scanning in data processing

As a state-of-the-art mapping technology, mobile laser scanning (MLS) is increasingly applied to fields such as digital presentations of city environments. However, its application has recently met a bottleneck in data processing. It has been found that conventional methods for geometrically modeling 3D scattered points are inadequate when dealing with large volumes of MLS data. In fact, this is a challenge that has already been noted in the MLS-relevant fields, e.g. remote sensing, robot perception, and pattern recognition. A variety of algorithms under the schematic frame of analysis, modeling and synthesis (AMS) have been developed in these fields. The AMS paradigm is to first extract the implicit geometric primitives within each scan profile by geometrically modeling its 2D scattered points (GM2P). The resultant 2D geometric primitives are then integrated to restore the real 3D geometrical models. In this process, GM2P is a kernel procedure whereby a review of the GM2P algorithms is assumed to be of significance for developing new efficient algorithms for geometrically modeling 3D scattered points. This idea is supported by MLS sampling often being executed via parallel scan profiles. Indeed, the results of the literature review indicate an avenue for methodologically improving MLS in data processing.     

A multi-subwaveform parametric retracker of the radar satellite altimetric waveform and recovery of gravity anomalies over coastal oceans

The quality of satellite radar altimetric data is very important in studies of geodesy,geophysics,and oceanography.Over coastal oceans,altimeter waveforms are contaminated by the terrain and physical environments so that the accuracy of altimeter data is lower than that over open oceans.Here we develop a new multi-subwaveform parametric retracker(MSPR) to improve the quality of altimeter data for the recovery of gravity anomaly in coastal oceans.The least squares collocation method is used to recover the residual gravity anomaly over the coastal water from altimetric data.The waveform data records from Geosat/GM around Taiwan Island are practically retracked with MSPR.When compared with the Taiwan geoid height,the results retracked by MSPR are more accurate than those retracked by the well-known β-5-parmeter method and from the geophysical data records(GDRs).The gravity anomalies over Taiwan coastal waters are calculated from the retracked altimeter data with the least squares collocation.When we compared gravity anomalies computed using altimeter GDRs with the ship-borne gravity data over Taiwan coastal ocean,we found that the results from retracked data are more accurate than those from GDRs.     

基于灰色理论的变形智能预测模型库研究

针对传统GM(1,1)模型在变形预测中精度不高和适应性不强的问题,将传统GM(1,1)模型从多个角度进行改进,并将传统模型及其改进模型进行集成,建立了预测模型库。利用灰色评价模型对模型库的预测结果进行评价,从而实现智能预测,并利用编程语言对模型库和评价模型进行了程序实现。最后利用盘古山钨矿变形数据对该模型库进行检验,结果表明,该模型库能根据不同特点数据,智能化地得到最佳预测结果,具有重要的应用价值     

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几种卫星钟差预报模型预报效果的分析与比较

采用GPS精密钟差数据进行预报试验,对二次多项式模型、谱分析模型、GM(1,1)模型、ARIMA模型以及Kalman滤波模型5种模型的钟差预报效果进行分析和比较,总结了各模型预报钟差的优点与不足,并对GPS系统目前运行的6种星载原子钟的预报特性进行简单分析。     

基于灰色系统的西北太平洋柔鱼冬春生群资源丰度预测模型

柔鱼（Ommastrephes bartramii）是西北太平洋重要的经济头足类之一,科学预测柔鱼资源丰度有利于其合理的开发和利用。研究结合1998-2008年北太平洋柔鱼生产统计数据和产卵场环境及其气候因子,使用灰色关联分析和灰色预测建模的方法,对产卵期内（1-4月）影响柔鱼冬春生群体资源丰度（CPUE）的产卵场环境以及气候指标进行分析,并建立柔鱼冬春生群体资源丰度的预报模型。结果表明,产卵期内影响柔鱼冬春生群体资源丰度的因子依次是:3月份产卵场平均海表面温度SST（average sea surface temperature）、1月份太平洋年代际震荡指数PDO（Pacific Decadal Oscillatio index）,4月份Niño3.4指标和4月份平均叶绿素浓度Chl a（average chlorophyll a concentration）。灰色预报模型分析表明,基于3月份SST、1月份PDO和4月份Chl a的GM（1,4）模型有着较好的预测效果,其预测准确率在80%以上,可用于西北太平洋柔鱼冬春群体资源丰度的预测。     

红山地震台地磁GM4仪与FHD-2B仪观测资料对比分析

通过对2013年红山地震台地磁GM4磁通门磁力仪与FHD-2B质子矢量磁力仪产出的观测资料进行对比,系统分析两套仪器分均值、日均值和基线值的变化趋势,并对仪器背景噪声做相应对比,认为观测数据变化趋势一致,而GM4仪观测精度较大。