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.
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。
The time series analysis is proposed for load forecasting of power-generating and power transmission programming in power systems.
并用灰色预测理论对该系统现有的年用电量时间数据序列进行处理，进而建立了GM（1，1）预测数学模型，最后提供了预测实例。
Time data sequence on existing annual power consumption are dealt with by using principles of grey production, thus establishing GM(1, 1) grey model. Finally, a example is given.
根据股票市场是非线性动力系统的假设，利用混沌理论对混沌时间序列的分析方法，提出了股票价格预测方法。
A method of stock price prediction is presented by hypothesis of stock market being non-linear dynamic system and analyzing method of chaos theory for chaos time series in this paper.
本文介绍了电子对抗中对混沌时间序列进行预测的一种数学模型和一种基于混沌序列的反侦察系统。
In this paper, the prediction of mathematical model for chaotic sequence in electronic antagonism and the anti-reconnaissance based on chaotic sequence are presented.
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.
针对原料场圆盘配料系统下料量检测滞后和料量随堆料机进退变化较大的特点，应用时间序列分析方法建立了基于AR模型的圆盘下料量预测模型。
For the features of disc proportioning system's lag and discharge rate's fluctuation, applying time series analysis, a disc discharge rate prediction model based on ar model was set up.
基于该网络的时间序列预测模型可以实现性能优越的非线性预报器，将其应用于非线性系统的故障预报能够取得良好的效果。
The LMBP neural network can predict nonlinear time series very well and the new method is effective for the fault prediction of nonlinear systems.
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.
青藏铁路大风监测预警系统采用时间序列法实现沿线风速的短时预测。
Time series method is adopted for building the strong wind monitoring and warning system of Qinghai-Tibet Railway to realize the short-term forecast of the wind speed along the line.
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。
The Support Vector Regression(SVR)is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems.
目的阐述A RIMA模型拟合时间序列的方法和步骤，并将其应用于乙型肝炎的预测，为传染病预警系统提供决策依据。
Objective The approach and procedure to fit time series with ARIMA models are discussed briefly. The application to forecast hepatitis B is given to help infectious diseases forecasting system.
灰色系统预测法对时间序列的预测有较高的精度。
The grey system has a high precision for the time series prediction.
时间序列分析是统计学的一个重要分支，灰色系统理论是一种动态趋势预测理论。
Time series analysis is a branch of statistics and widely used in trend prediction.
应用混沌预测方法，对气液两相单孔鼓泡系统的压力波动时间序列进行了短期预测。
A short-term prediction method developed on the basis of the deterministic chaos theory is used to predict the time series of pressure fluctuations in a gas-liquid bubble column with a single orifice.
并且分析了现有的一些石油需求预测方法，这些方法包括：时间序列法、人工神经网络方法、灰色系统法、弹性系数法等。
And some existing methods of oil demand forecast are analyzed, such as Time Series Analysis, Artificial Neural Network method, Gray System method and Consumption elasticity coefficient method.
基于混沌动力系统相空间的延迟坐标重构和双线性表达式，设计了预测混沌时间序列的双线性自适应预测滤波器。
Based on the delay-coordinate reconstruction and bilinear expressions in the phase space of a chaotic system, a bilinear adaptive filter was designed to predict low-dimensional chaotic time series.
以水均衡方程为基础，应用时间序列分析法，建立系统管理模型，对地下水资源系统进行系统运行控制、预测和管理。
Systematic management model is set up by time series analytic method based on water balance equation to control, predict and manage groundwater resources system.
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.
归纳了支持向量机在诸如模式识别、函数逼近、时间序列预测、故障预测和识别、信息安全、电力系统以及电力电子领域中的应用。
SVM applications, such as pattern recognition, function approaching, time series prediction, fault prediction and recognition, information security, power system and power electronics, are described.
采用灰色系统理论对原地爆破浸出率的时间序列预测问题进行了研究。
In this paper, the theory of gray system is adopted to study the time series prediction of the leaching rate of in-situ blasting and leaching ore.
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.
建立了基于机械系统振动特征量的时间序列趋势预测GM（1，1）并进行了后验差精度检验；
The methods to enhance the modeling precision for the universal GM(1,1) applied to predicting the development of a mechanical pump based on vibration features were studied.
基于混沌动力系统的相空间延迟坐标重构，利用混沌序列固有的确定性和非线性，提出了用于混沌时间序列预测的一种少参数非线性自适应滤波预测模型。
Based on the deterministic and nonlinear characterization of the chaotic signals, a new reduced parameter nonlinear adaptive filter is proposed to make adaptive predictions of chaotic time series.
研究边坡位移混沌时间序列的预测，利用混沌系统的相空间重构理论，提出基于小波神经网络的边坡位移预测方法。
This paper studies the chaotic time series of the slope displacement forecast. Using the theory of reconstructing phase space in the chaotic time series.
ESN(回声状态网络)是一种新型的递归神经网络，可有效处理非线性系统辨识以及混沌时间序列预测问题。
As a new type of recurrent neural network, echo state network (ESN) is applied to nonlinear system identification and chaotic time series prediction.
ESN(回声状态网络)是一种新型的递归神经网络，可有效处理非线性系统辨识以及混沌时间序列预测问题。
As a new type of recurrent neural network, echo state network (ESN) is applied to nonlinear system identification and chaotic time series prediction.
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