为了提高铁矿石消费量的预测精度，采用一种基于智能计算的时间序列预测方法。
In order to improve the prediction accuracy of iron ore consumption, using a time series forecasting method based on intelligent calculation.
分析了基于记忆库混沌时间序列预测方法，引入一种改进核函数的支持向量机分类器。
Secondly the prediction technology of chaotic time series is studied based on memory-based predictor.
该模型具有计算简便的特点，而且具有可比性，能反映不同时间序列预测方法有效性。
These combination forecasting models are characterized with simple algorithm and comparison of forecasting effectiveness to different time series.
根据滑坡位移时间序列的非线性性质，应用混纯时间序列预测方法，建立滑坡预测的非线性混纯模型。
According to the nonlinear characteristics of landslide displacement time series, the nonlinear chaotic model is presented applying the forecasting method of chaotic time series.
本文引入灰色系统理论，利用有限的时间序列，按照GM(1,1)建模方法，建立起黑龙江省污水总量长期预测模型。
This paper inserts grey system, makes use of finite time series, follows GM (1, 1) building method, builds the long term prediction model of total waste -water in Heilongjiang Province.
城市燃气负荷是一个多工况、复杂的工程系统，本文采用时间序列方法对深圳的燃气负荷进行了分析和预测。
City gas load is a multi-mode and complicated engineering system. This paper analyzes and estimates the gas load of Shenzhen by using method of time series analysis.
介绍了在批量处理时间序列情况下，BP神经网络辨识预测电力负荷的方法和步骤。
The method and steps of BP (Back Propagation) neural network for recognizing and forecasting power load in batch data processing of chronological sequence is presented.
第五章利用时间序列的方法对证券交易数据进行了挖掘，找出了数据中的模式和异常，相对传统方法而言，给出了更精确的预测模型和异常挖掘方法。
In the final chapter, we mine stock trading data using time series method, find out the model and outliers in the data and, at last, we show the more exact forecasting model and outlier mining method.
时间序列分析可以通过差分、周期的方法，对植物种群的增长进行模拟与预测。
Time series model can simulate and predict the increase of Quercus variabilis population by the difference, periodic method.
这一概念是对线性偏自相关的一般化，由它可以得到度量时间序列预测复杂性的定量方法。
By means of it, we could get the quantitative method to measure the intrinsic prediction complexity of time series.
由于股票预测是不确定、非线性、非平稳的时间序列问题，传统的方法往往难以取得满意的预测效果。
Because stock forecasting is a uncertain, nonlinear and nonstationary time series problem, it is difficult to achieve a satisfying prediction effect by traditional methods.
这一概念是对线性偏自相关的一般化，由它可以得到度量时间序列预测复杂性的定量方法。
The concept is the generalization of partial autocorrelation. By means of it, we could get the quantitative method to measure the intrinsic prediction complexity of time series.
基于小波包变换和混沌理论提出了一种股票市场建模及其预测的新方法，既能刻划时间序列的规律，又能捕捉混沌状态的特征。
A new method is proposed to predict the stock market based on wavelet packet transformation and chaos theory, which can not only describe a time series but also capture the features of the chaos.
基于混沌时间序列的局域线性预测模型，提出了多嵌入维的短期负荷预测方法。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
给出了基于径向基函数网络的混沌时间序列预测的方法。
A method based on radial basis function networks for forecasting chaotic time series is proposed.
提出一种时间序列算法和模糊逻辑技术相结合的电力系统短期负荷预测方法。
An improved method for short term electric load forecasting is presented. It is based on time series methods and fuzzy logic techniques.
混沌经济时间序列的预测方法研究是混沌经济非线性动力系统的重要内容。
The research on forecasting method of chaotic economic time series is the important part of the nonlinear chaotic economic dynamic systems.
研究了基于时间序列方法的国税月度收入预测。
The monthly central tax revenues forecasting is considered based on time series method.
基于混沌系统局部特征，提出了一种局部动力相似的混沌时间序列的预测方法。
A method of chaotic time series prediction problem based on local dynamical similarity is proposed.
方法：采用黄瓜霜霉病病情指数时间序列从方法学的角度进行预测方法研究。
Methods Using the time series analysis of cucumber downy mildew disease, to explore the forecasting method from the Angle of methodology.
用平稳时间序列分析方法建立随机部分模型，并预测沉降随机部分值，二者之和即为某时期沉降预测值。
The random settlement could be gotten by random prediction model that is established by smooth and stable time series analysis method.
在路基填筑施工过程中，根据沉降观测数据用时间序列分析方法建立等维信息动态预测模型。
During the filling construction of the roadbed the total settlement value could be predicted by using time series equal interval prediction model of recent information.
回归分析法、弹性系数法、时间序列法等是市场预测中常用的方法。
Regression analysis law , Resilience factor law , The time queue law awaits the means being in common use in the market forecast.
电力系统短期负荷预测使用的方法有传统建模方法，诸如时间序列、回归分析等方法。
There are traditional model methods of forecasting short-term load, such as time series, regression analysis, and so on.
本文从研究可钻性时间序列特征出发，应用分形几何方法，分析了可钻性时序的可预测性。
In this paper the predictability of drillability time series was analyzed using fractal method based on the study of drillability time series characters.
可运用时间序列模型中的曲线拟合方法，对重庆入境旅游人数和旅游收入进行预测。
Curve Fitting Method of Time Series Model can be used to predict the number of inbound tourists and tourism revenue of Chongqing.
在深入研究混沌时间序列局域预测方法的基础上，提出了一种加权局域基函数预测方法。
The prediction method of weight local basis function is presented based on the deep research on local prediction for chaotic time series.
针对混沌时间序列的最近邻域预测法，提出了改进的最近邻域点优化选择方法和加权一阶局域线性预测法。
Optimal choice method of the nearest neighboring points and adding weight one-rank local region method is introduced on the nearest neighboring forecasting method of chaotic time series.
针对其时间序列的特点，研究了ARIMA的不同模式，提出了面向特定市场的ARIMA模型，及其预测和估计方法。
Aim at the trait of time series, investigate the different ARIMA patterns, put forward the ARIMA model and forecast and estimate aim at special market.
针对其时间序列的特点，研究了ARIMA的不同模式，提出了面向特定市场的ARIMA模型，及其预测和估计方法。
Aim at the trait of time series, investigate the different ARIMA patterns, put forward the ARIMA model and forecast and estimate aim at special market.
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