灰色预测

励磁控制系统灰色预测PID控制仿真研究

Study on Simulation of Grey Prediction PID Control on Excitation Control System

灰色预测CO浓度在舰船火灾探测中的应用

Application of Grey Prediction for Fire Detection in Warship

一种带有自校正环节的灰色预测PID控制器的设计

Design of grey predictive PID controller with self-tunning function

GM（1,2）短期现货电价灰色预测模型

The GM ( 1,2 ) short-term spot price forecasting grey model

灰色预测GM（1，N）模型在赤松毛虫预测预报中的应用

Application of grey gm ( 1 , n ) model for forecasting Dendrolimus spectabilis occurence

灰色预测神经网络PID控制研究

Neural Network PID Control with Grey Prediction

灰色预测模型GM（1,1）及其在交通运量预测中的应用

Grey Model-GM ( 1,1 ) and Its Application to Predicting Transportation Volume

基于GM模型的刀具耐用度灰色预测

Grey Prediction of Cutter 's Life Based on GM Model

船舶自动舵灰色预测模型及其DSP实现技术研究

A Prediction Model of Ship Autopilot Based on the Grey Theory and Its Realization with DSP

应用灰色预测模型GM（1,1）对结核病发病率进行预测

Application of residual grey model ( 1,1 ) to the prediction of tuberculosis prevalence

灰色预测模型GM（1,1）主要适用于光滑数据序列的预测。

The GM ( 1,1 ) forecast model fits in with mainly the smooth data sequence .

文章首先简要介绍了灰色预测方法GM（1，N）模型的构造步骤及检验方法。

The paper introduces the establishing steps and the verification method of gray prediction method GM ( 1 , N ) .

通过灰色预测模型GM（1,1），预测柳州市2010年的城市规模。

We could predict the city size of 2010 in Liuzhou through gray systematic predicting model GM ( 1,1 ) .

灰色预测模型GM（1,1）主要的特点就是模型简单、可以使用较少的实测数据构建模型。

Grey forecasting model GM ( 1,1 ) is the main characteristics of simple model , using less data model .

在灰色预测的基础上，引入BP神经网络模型，建立了GM（1,1）和BP神经网络组合模型。

Based on gray estimation , the BP neural network model is introduced to setup GM ( 1,1 ) and BP neural network integration model .

实践证明，灰色预测模型GM（1,1）在沉降预测中具有较高的应用价值。

The example proves that the gray forecasting model GM ( 1,1 ) has high usable value in settlement forecast of high building .

利用灰色预测对系统的输出偏差和预测偏差进行合成形成一个综合偏差，用来代替传统PID控制中的实际偏差项。

By making use of grey prediction , the error item in the traditional PID control is substituted by the integrated error composed of output error and predictive error .

研究了灰色预测GM（1,1）模型及其几种改进模型在城市年用电量预测中的应用.以实际算例为基础，分析了几种模型的预测结果并进行比较。

This paper studies the application of the grey forecasting GM ( 1.1 ) and some improved models in annual electricity consumption forecasting in a city .

对2004年北Sumatra地震序列两次强余震的灰色预测

Grey Forecasting Two Strong Aftershocks of the 2004 North Sumatra Earthquake Sequence

时间序列分析主要采用了自回归模型AR（n）：在灰色预测分析中采用了工程中最常用的GM（1，1）模型。

Least square method is adopted in regression analysis , AR ( n ) model in time series analysis and GM ( 1,1 ) model in grey system prediction .

本文对GM（1,1）模型加以改进，将灰色预测GM（1,1）模型与跳变灰过程理论结合，建立了淤堵试验渗透系数的跳变预测模型。

Based on improvement of the grey model and combination with the jumping grey theory , a high precision jumping grey model is developed for prediction of the permeability coefficient .

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 .

然后将空间插值的表达方式与GM（1,1）灰色预测模型结合，回顾和预测安徽省三次产业从业人口的空间扩展演变和趋势变化，最后再进行空间插值的平面彩绘。

Then spatial interpolation of expression and GM ( 1,1 ) gray prediction model are combined to review and predict the spatial trends and extension of the working population of the three industries in Anhui Province .

灰色预测模型GM（1,1）与马尔柯夫链结合成为灰色马尔柯夫预测模型，可以有效提高随机波动性较大的时间序列数据的预测精度。

We can effectively improve the prediction accuracy of time-series data regardless of its large random volatility , when we combine the Grey Predicting Model GM ( 1,1 ) and MARKOV CHAIN into MARKOV Predicting Model .

运用灰色预测理论，建立了预测单桩竖向抗拔极限承载力的非等步长GM（1,1）模型和等维灰数递补动态预测GM（1,1）模型。

According to gray prediction theory , the non-isometric step GM ( 1,1 ) model and the dynamic prediction model with the same dimension of gray numbers are built to predict the uplift ultimate bearing capacity .

最后，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，并对未来几年中国人造金刚石的产量进行了预测。

Finally , the modeling procedure based on the grey forecasting model GM ( 1,1 ) which is applicable to original series with equal intervals was introduced , and then an output model of Chinese synthetic diamond was established .

灰色预测模型GM（1,1）主要适合于光滑数据序列的预测，对非光滑数据序列常采用对数变换法、开n次方变换法和指数加权变换法提高数据的光滑度。

The grey forecast model GM ( 1,1 ) fits in with the forecast of smooth data . With regard to non-smooth data , it adopts the logarithm transformation , the extraction of a root and the exponent weighted to improve their smoothness .

以物流业发展定量预测常用的灰色预测GM（1,1）模型为例，介绍了现代物流业发展定量预测通用软件系统的内容、结构、设计、功能以及该设计与实现的关键技术。

Grey model used by logistics development quantitative forecast is presented as an example . The content , structure , design , function and key technology of design and implementation of system are introduced , which is modern logistics development planning forecast .

为此，本文提出一种基于中值滤波的GM预测模型，即先用中值滤波算法对发生波动的原始变形监测数据进行滤波处理，而后再建立GM模型进行灰色预测。

Therefore , this paper puts forward the GM forecast model based on median filter . This model uses median filter arithmetic to filter the original data of dam deformation monitoring firstly , then builds the GM model to forecast the dam deformation .

本文还运用灰色预测对DCT的吞吐量进行了预测，然后计算了现有泊位的通过能力，并进行了比较，最后提出了一些提高通过能力的措施建议。

This article also predicted the use of gray throughput of Dalian Container Terminal has been predicted , and then calculated the existing berths through the ability and compared , and finally put forward some suggestions to improve through capacity building initiatives .