TimeSeries相关论文
某型航空发动机燃油计量系统出现了不匹配的现象,不能按需发出精确的计量燃油和指令油。针对这一现象需要建立燃油计量系统的数学......
风电功率时间序列模拟是可再生能源功率分配规划、运行模式计算和安全评估的关键环节.传统的单点建模方法在每一时刻离散地生成模......
In order to improve the accuracy of slow deformation monitoring sequence,the smoothing filter is usually used.On the bas......
Application Characteristics Analysis of the T20 Solar Radiation Pressure Model in Orbit Determinatio
For sub-meter precise orbit determination of GEO satellites,solar radiation pressure (SRP) perturbation is the major err......
Based on double-difference model of Beidou &GPS data fusion processing algorithm,thispaper presents a set ofhigh precisi......
The Effect of Colored Noise On the Coordinate Time Series Analysis of Continuous GPS Stations in Ant
Recent researches show not only white noise but also colored noise is widely existed in various continuous GPS station c......
对风电出力时间序列特性分析提出规律性分析的研究角度.首先定义了风电出力时间序列规律性指标并分析了这些特性对电力系统运行的......
Preliminary Study on Changes in Temperature andIts Implicationon Vertical Displacements of Antarctic
GPS is a highly precise tool in horizontaland vertical crustal motion studies.GPS coordinate time series are influenced ......
This paper extracts the period of GPS elevation time series based on HHT algorithm.Firstly,the signal is decomposed by E......
With the "Belt and Road" initiative and continuous advancement,Chinas coastal ports have ushered in new opportunities ......
The individual household electricity consumption is major part of the city in the electricity market.The accurate predic......
Weakening density dependence from climate change and agricultural intensification triggers pest outb
Understanding drivers of population fluctuation,especially for agricultural pests,is central to the provision of agro-ec......
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With the development of precision agriculture,agricultural insurance and precise farm subsidy,there are increasing deman......
Projections of hepatitis A virus infection associated with flood events by 2020 and 2030 in Anhui Pr
Assessing and responding to health risk of climate change is important because of its impact on the natural and societal......
In this paper,with Xinjiang Province as the research site,we reconstructed the Moderate Resolution Imaging Spectroradiom......
Multi-temporal vegetation index reflects the phonological calendar features which are one of the most distinguishing fea......
We propose a procedure to forecast data traffic.It is a modification of method developed for forecasting series with sta......
Business analytics refers to data-driven decision making in business.Nonparametric methods are playing an increasing rol......
Predicting Characteristics of Financial Time Series with Application to the State of Qatar Stock Exc
Forecasting the future is an important issue in time series data analysis in order to aid in planning and the adoption o......
Time series have included a series of data materials.These data masteries are the data that is acquired through the pass......
Nonlinear chaotic time series is used to predict risk of long inclined-shaft construction in mine by TBM based on analyz......
Prediction of malaria cases in the southeastern Iran using climatic variables: An 18-year SARIMA tim
Objective: To predict future trends in the incidence of malaria cases in the southeast of Iran as the most important are......
目的研究我国（不含港、澳、台地区）的血吸虫病月报告病例数进行自回归移动平均（autoregressive integrated moving average，ARIMA）模型......
目的 探讨ARIMAX模型（autoregressive integrated moving average model-X,ARIMAX）在流感发病趋势预测方面的效果,为提高此模型在传......
本文应用时间系列方法，从新的角度研究了我国地区收入的“俱乐部”收敛性。它的优点是可以避免东、中、西部的预先限定，识别出哪些地......
时间序列是指将某种现象的一系列观测值按照时间先后顺序排列所形成的序列.对时间序列的分析和预测能够为我们提供良好的决策支持.......
目的：了解新疆医科大学第一附属医院儿科重症监护室（ICU）患者院内感染阴沟肠杆菌发生的时间分布特点，为做好院内感染控制提供参考数据......
目的 探讨自动回归移动平均混合模型(ARIMA)对重症肺炎患者日均住院费用月份变化趋势拟合及预测价值.方法 回顾性分析成都大学附属......
Snow cover is one of the important components of land cover,and it is necessary to accurately monitor the depth and cove......
目的 研究上海市日均气温与三级医院医保急诊人次的关系.方法 应用广义相加模型分析时间序列资料,并在模型中加入自回归模型AR(P)......
通过1999年1月至2006年12月天津市脑卒中逐月死亡率数据,应用圆分布法探讨脑卒中死亡率的季节分布,动态变化规律,建立监测与预测的......
通过建立ARIMA预测模型对现货电价进行预测，并对ARIMA模型存在的异方差问题通过GARCH模型进行修正。实证算例中，采用北欧四国电力市......
本文针对时间序列数据的符号化问题,提出采用免疫聚类算法处理多维时间序列的符号化,利用克隆选择原理,生成能充分反映数据真实分......
针对机械系统失效单元寿命预测所涉及的时间序列,介绍了灰色模型GM(1,1)(GM:Grey Models)方法在预测中的特长及缺陷.同时为了提高......
分布式系统中为了获得高效的动态负载均衡，需要对主机负载进行有效的预测，这区别于网络流量的预测。论文从分析主机负载的特性入手，依......
基于组合模型的建模思想，提出了一种有效拟合时间序列数据的交互式逐步逼近建模方法，识别并拟合出了全球巨型油轮（VLCC）新船市场需求长......
采用随机时间序列分解模型对福州市100年来(1900～1999年)年降水量序列进行了统计分析,结果显示,福州年降水量存在缓慢递减的趋势,并......
从时间序列建模与预报的角度讨论了动态神经网络，首次提出了一种新的实现非线性动态时间序列预报的动态网络结构－全息神经网络，给出了......
在拓扑等价的意义上，证明了系统单变量时间序列混沌吸引子的分维与度量无关，改进了计算分维的ＧＰ算法，给出了递推ＧＰ算法，并利用此算法计算了......
导出了双线性时间序列模型参数误差估计的递推算法，采用伴随常微分方程的稳定性分析方法分析了双线性模型的ｍ－可逆性对可预报误差估计......
在传统时间序列分解计算方法的基础上，采用一种新的灰色预测方法模式对趋势项进行预测，建立以传统分析方法和灰色系统理论相结合的长......
感潮河段水位过程同时受径流、潮流影响，其预报较为困难，将水位过程视为时间序列，用不同的模型进行了预报比较，认为以潮汐作用为主的水......
把小波网络方法用于时间序列分析中非线性模型，利用小波网络的非线性逼近能力，构造一个非线性函数，并对温度资料进行处理，得到了较好的......
该文提出了基于傅立叶变换的一种新的时间序列相似搜索算法，该处利用高效的索引方法，达到快速的匹配，解决了多序列的子序列匹配问题，大......
