A new neural tree for modeling the time-series forecasting is proposed in the paper.
提出了一种新的神经树模型来进行时间序列预测。
Aim To construct a new time-series forecasting model based on neural network with the capability of noise immunity.
目的建立一种新的具有抗噪声能力的神经网络时间序列预测模型。
Data series forecasting is one of the most common problems which are difficult to grasp in evaluation and decision.
数列预测一直是评价决策中最常见而又难于把握的问题之一。
Reconstructing proper ph ase space to spread space orbit completely is the precondition of further chaotic series forecasting.
重构合适的相空间，使空间轨道充分展开是进一步混沌序列预测的前提。
Time series forecasting refers to the use of the historical observations of time series to predict the value at a future time.
本文第一章介绍了该课题的背景意义以及时间序列预测的国内外研究现状；
This paper introduces the feasibility of inner recursion networks using in non-linear ARMA model approaching and time series forecasting.
该文介绍了内回归神经网络逼近非线性ARMA模型、用于时间序列预测的可行性。
In order to improve the prediction accuracy of iron ore consumption, using a time series forecasting method based on intelligent calculation.
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。
A new methodology based on state space reconstruction and divergence calculation techniques has been developed for financial time series forecasting.
一种新的基于相空间重构和偏差计算技术的方法已被应用于金融市场预测。
In the study of time series forecasting in ground states, the method for recognition and processing singular values is proposed, then LS-SVM is applied to forecast.
针对基态趋势客流预测问题，研究了进行奇异值检测处理并运用最小二乘支持向量机进行预测的解决方案。
The fuzzy time series forecasting differ from classic time series forecasting is lead in the conception, named membership function which contribute much to figure the method.
模糊时间序列法不同于经典时间预测之处在于其引入了隶属函数的概念，在序列的预测演算中起到重要作用。
Moving average method is one of time series forecasting method, if time series have no apparent tendency moving, using moving average method can accurately reflect actual situation.
移动平均法是一种时间序列预测法，当时间序列没有明显的趋势变动时，使用移动平均就能够准确地反映实际情况。
Time series forecasting models of total food-grain consumption in China were selected by using SPSS, and were built based on the correlative relationship between quantity of consumption and time.
利用粮食消费量与时间之间的相关关系，采用SPSS程序包进行筛选，建立我国食用粮食消费总量的时序预测模型。
The chaotic forecasting of power load is based on reconstructing phase space of the power load series.
电力负荷的混沌预测是建立在重构电力负荷序列的相空间基础之上的。
It discusses and compares the forecasting models using neural networks and using time series.
讨论、比较了基于神经网络和基于时间序列的预测模型。
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.
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 this paper, the numerical solution of differential equation is employed to establish the forecasting model of the time series.
本文利用微分方程的数值解法对时间序列建模预测作了新的尝试。
In this paper a new method of modeling forecasting is given for the time series by using the numerical solution of differential equation.
本文利用微分方程的数值解法对时间序列建模预测作了新的尝试。
Forecasting that applies a set of mathematical rules to a series of past data to predict outcomes.
运用一组数学规则，根据过去的数据序列来预测未来的一种预测。
In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.
文章通过对一套市场价格预测模型体系的介绍，综合运用时间序列模型、多元非线性回归和组合模型来预测市场价格走势，探索从多角度综合预测市场价格的问题。
The step and method of creating forecasting data series are also introduced, and a practical calculation example is given here which have detection data detected only once.
介绍了预测数据序列生成步骤方法，给出了仅有一次检测数据的预测计算实例。
Hydrology series character diagnoses is one of the key problems of hydrology forecasting, which is not yet to be solved.
水文序列性质的诊断是水文预测的关键问题之一，至今没有得到有效解决。
The time series analysis is proposed for load forecasting of power-generating and power transmission programming in power systems.
本文提出用于电力系统发电规划和输电规划负荷预测的时间序列分析法。
A new method of realtime correction with error distribution in time series is given to increase the correctness of flood forecasting.
本文提出一种新的误差时序分配实时校正法，可提高洪水预报方案的精度。
Because stock forecasting is a uncertain, nonlinear and nonstationary time series problem, it is difficult to achieve a satisfying prediction effect by traditional methods.
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。
There are traditional model methods of forecasting short-term load, such as time series, regression analysis, and so on.
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。
Hydrological time series similarity search can be used for rainfall and flood forecasting, the analysis of environment evolvement and hydrological process, etc.
水文时间序列相似性查询可用于雨洪过程预测、环境演变分析、水文过程规律分析等方面。
A method based on radial basis function networks for forecasting chaotic time series is proposed.
给出了基于径向基函数网络的混沌时间序列预测的方法。
This paper use grey forecasting model and unbiased grey forecasting model to test a series of slope data, and the results indicate that both methods are valid and the later is more accurate.
本文采用传统灰色预测模型和无偏灰色预测模型对边坡变形进行预测，预测结果表明，两种模型都是有效的， 无偏灰色预测模型的精度更高。
The research on forecasting method of chaotic economic time series is the important part of the nonlinear chaotic economic dynamic systems.
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.
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。
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