The task of complex time series predicting is hard to be accomplished with only one single predicting model.
针对复杂时间序列难以使用单一预测方法进行有效预测的问题，本文提出一种新型多分辨率增量预测模型。
The next time you are faced with a complex problem in XSLT, determine whether it could be simplified or modularized as a series of piped operations.
下次面临XSLT中的复杂问题时，您可以决定是否将它简化或模块化成一系列管道化的操作。
Such applications have a complex series of transaction pathways that cross multiple middleware and run-time environments, including J2EE, legacy, and back-office systems.
这样的应用软件拥有一系列复杂的事务路径，可以用在多个中间件和实时环境中，包括J2EE、既有和后台办公的系统。
The hospital outpatient amount is a seasonal time series with the character of complex non-linear combination.
医院门诊量是一个具有复杂的非线性组合特征的季节性时间序列。
The hospital outpatient amount is a seasonal time series with the character of complex nonlinear combination.
医院月门诊量是一个具有复杂的非线性组合特征的季节性时间序列。
As one of the important forms of complex data, time series is a hotspot in data mining area.
作为一类重要的复杂类型数据，时间序列已成为数据挖掘领域的热点研究对象之一。
A series of bimetal coordination complex fibers with different content of metal were prepared by controlling the concentration of metal ions and reaction time.
通过控制金属离子的浓度和反应时间制得一系列不同金属含量的双金属配合物纤维。
The scattered resources have the characteristics such as small length, content widely, long time series and so on, moreover complex sources and various formats.
零散资料具有篇幅小、涉及内容广泛、时间序列长等特点，而且来源复杂，存储形式多样。
The nonlinearity of monthly rainfall time series in Yunnan province is investigated by using the theory of complex system.
应用复杂系统理论和方法研究了云南地区月降雨量时序数据的非线性特性。
Among these research fields, time series data mining is a rather complex branch, which is a technique that extracts the most valuable information from large amount of history time series data.
而在这其中时间序列数据挖掘是面向特殊应用数据挖掘领域中比较复杂的一个分支，主要研究从大量时间序列历史数据中挖掘有价值信息的方法和相关技术。
General analytic solutions for transverse bending of anisotropic rectangular plate using first order shear deformation theory is obtained at the first time by the complex series method (CSM).
采用复级数方法首次建立了基于一阶剪切变形理论的各向异性矩形板横向弯曲一般解析解。
The Support Vector Regression(SVR)is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems.
用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。
In the paper, being directed to the complex model of time-series pattern, drawing idea and giving pseudo code of the algorithm of finding time-series patterns has been presented.
针对时序数据中的复杂模式问题，提出了一种时序模式算法，并描绘了算法的基本思想及给出了算法的简单伪代码。
In order to simulate narrowband reverberation time series easily, the simulation method designed based on simulating reverberation complex envelop, which is feasible for any sampling frequency.
针对窄带发射信号，为了便于计算，设计了一种适用于任意采样率的基于复包络的混响信号仿真方法。
In this region, dry climate, rare rain and strong evaporation make hydrological process show very complex change process, hydrological time series present highly nonlinear and uncertainty.
由于干旱地区气候干燥、降水稀少、蒸发强烈，使得水文过程呈现出非常复杂的变化过程，水文时间序列表现出高度的非线性和不确定性。
It's driven by a simple expression language you use to retrieve time series data, perform calculations to tease out the answers to complex questions, and visualize the results.
它是由一个简单的表达式语言驱动的，你用来检索时间序列数据，进行计算，找出复杂的问题的答案，并可视化的结果。
However, there are a few on multivariate time series mining, since the data structure of multivariate time series is more complex than that of univariate time series.
然而多元时间序列的数据结构比一元时间序列更复杂，现有的理论和方法仍不够完善。
However, there are a few on multivariate time series mining, since the data structure of multivariate time series is more complex than that of univariate time series.
然而多元时间序列的数据结构比一元时间序列更复杂，现有的理论和方法仍不够完善。
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