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。
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 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。
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。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
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。
In forecasting, it is unsuitable to apply Autoregressive model to time series with seasonal variation.
对于具有季节变动的时间序列，使用自回归模型进行预测是不适宜的。
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。
Time series analysis method is a main method by which deformation forecasting model is established in deformation measurements.
时间序列分析方法是建立变形测量预测模型的主要方法。
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。
Through verifying, it may get the conclusion that the AR (p) model of precipitation series is reasonable and practical and it may be used for forecasting rainfall series.
通过验证知所建AR (P)模型是合平实际的可以用于降雨系列的预报。
According to the requirements of monthly and weekly load forecasting in the HeNan load forecasting Project, the synthetic series connection model is chosen for modeling.
结合本文来源(河南省负荷预测项目)关于周、月负荷预测的相关要求，选择串联型综合模型进行建模。
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.
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 modeling procedure using the grey forecasting model GM (1, 1) which is applicable to original series with equal intervals is introduced, then an output model of synthetic diamond is established.
介绍了适用于等间距序列的灰色预测模型GM(1,1)的建模步骤，预测了我国的人造金刚石产量。
Exponential smoothing, as a key branch of time series, is a typical forecasting and control model. Because the model have some merit characteristics and wide application.
而作为其重要分支之一的指数平滑法，因为操作简单、适用性强、性能优良、应用广泛而成为经典的预测与控制模型。
Combining the advantages of regression analysis methods and time series forecast model with equal step length, a compound forecasting model was set up , and was tested with engineering data.
结果显示，把最小二乘支持向量机回归预测与等步长时序预测相结合的预测方法应用于地下工程围岩位移监测数据的分析及预测是可行的；
Objective the research aims to investigate the application of time series analysis method on time series datum, and establish forecasting model on cholecystitis incidence rate in Haixizhou region.
目的探讨时间序列分析方法在时间序列资料中的应用，建立海西州地区胆囊炎发病率的预测模型。
In this paper, the numerical solution of differential equation is employed to establish the forecasting model of the time series. A practical example is solved for illustrating the proposed approach.
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。文中给以实例说明。
According to the nonlinear characteristics of landslide displacement time series, the nonlinear chaotic model is presented applying the forecasting method of chaotic 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。
Based on its characteristics, the grey forecasting model was applied to forecast the monitoring series with seasonality.
基于灰色模型的诸多优点，作者选用GM(1,1)模型分析和预报形变监测序列。
Based on its characteristics, the grey forecasting model was applied to forecast the monitoring series with seasonality.
基于灰色模型的诸多优点，作者选用GM(1,1)模型分析和预报形变监测序列。
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