预测模型

通过对灰色预测模型建模机理的研究，发现了传统灰色预测模型（GM（1,1）模型）的局限性。

Though the study of the mechanism of grey predictive modeling , the limitations of the traditional grey model ( GM ( 1,1 ) model ) is discovered .

原油常压蒸馏产品恩氏蒸馏数据的预测模型

Predictive modeling for Engler distillation of the distillate from crude atmosphere column

供水管道震害预测模型及其在GIS环境下的实现

Earthquake damage assessment models of water supply pipelines and their realization based on GIS

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

铝合金穿孔型等离子弧立焊的BP神经网络预测模型

BP Neural Network Predicting Model for Aluminium Alloy Keyhole Plasma Arc Welding in Vertical Position

Logistic水泥产需预测模型的研究

Study on logistic curve model for forecasting demanded quantity of cement in China

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

用支持向量机（SVM）构建企业破产预测模型

An Application of Support Vector Machines in Bankruptcy Prediction Model

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 .

选用GM模型的必要条件与变系数GM递推预测模型

The Essential Conditions for Using GM and the Progressively Predictive Model with Changeable Coefficients in GM

建立了BP神经网络预测模型，运用MATLAB编程对老挝公路客、货运量进行了预测。

Established a BP neural network prediction model , using MATLAB programming to Laos highway passenger and cargo were predicted .

把时序AR（n）预测模型和灰色GM（1,1）预测模型两者有机结合起来，形成新的灰色时序模型的预测模型。

Time sequence forecasting model and gray system forecasting model are combined to form into the gray time sequence model .

基于AHP及Logit回归的新能源汽车市场预测模型

Market Forecasting Modeling Study for New Energy Vehicle Based on AHP and Logit Regression

多因子过程分析及SCGM（mv）（1，h）预测模型

Multifactor Process Analysis and SCGM_ ( mv )( 1 , h ) Forecasting Model

以山东省工业废水排放量为例，建立了GM（1，1）高阶残差预测模型。

As an example , such a model for predicting the discharge quantity of industrial wastewaters in Shandong province is developed .

采用人工神经元网络理论则可以有效地解决计算的准确性与计算量之间的矛盾。本文利用改进的Boosting算法构造了多神经网络集成的预测模型，对无刷直流电机的反电势进行了准确预测。

The contradiction between precision and quantity in calculation can be resolved effectively by using artificial neural network .

由于DNA遗传算法较常规遗传算法在编码上有很大改进，因此本文在将DNA遗传算法与神经网络结合、建立更为精确的预测模型方面进行了探索。

Because DNA genetic algorithm improves greatly in coding , we make further study in using DNA genetic algorithm to optimize BP network and building a more accurate model .

同时使用灰色理论中GM预测模型对发动机的监测参数进行预测，从而及早分析出发动机所处工况。

Meanwhile , monitoring parameters will be predicted by a GM model of Grey Theory , and engine health condition will be analysed early .

结合GIS建立了森林病虫害预测模型，并论述了对森林病虫害预测的整个过程。

Based on GIS , the prediction model has been established for the forest pest disaster , and the whole process of the forest pests disaster forecast has been discussed .

均值生成时序及SCGM（mv）（1.1）预测模型

Mean-Value Generating Time Series and SCGM_ ( mv )( 1,1 ) Forecasting Model

通过对硼钢淬透性ANN预测模型的进一步研究，发现利用该模型可以进行硼钢化学成分的设计，为新钢种的开发提供了一种新途径。

The ANN model can also design the chemical composition of boron steels , which provides a new approach to develop the new steel grade .

针对单个BP神经网络作为预测模型时，递推多步预测误差积累大的缺点，本文提出多BP神经网络并行预测控制算法。

As the recursive error is accumulated largely when the single BP network is regarded as predictive model , we propose the paratactic predictive control algorithm based on multi-BP networks .

利用BP神经网络建立套料钻性能预测模型，通过比较实际误差梯度值与给定误差梯度值，来确定BP网络是否处于局部极小状态；

The presented GA-BP algorithm uses BP neural networks to generate GA-BP model . By computing error gradient and checking it with given error , local minimum position is identified .

TOP-N选择Markov预测模型

TOP - N selective Markov prediction model

并通过实例与BP网络进行比较，表明RBF网络预测模型优于BP网络预测模型。

Via the comparision with Back Propagation network , the results show that the RBF neural network is better than BP neural network in accuracy and speed of training .

重点针对道路交通事故灰色和随机不确定性，研究了一阶单变量灰色预测模型，即GM（1,1）模型。

In light of the grey and stochastic uncertainty of the road traffic accident , an one-step and single-variable grey forecast model GM ( 1,1 ) has been investigated .

利用1980～1998年在山东青州调查的数据资料，结合相关气象因子及烟草蚜传病毒病的病情指数，采用BP神经网络方法建立了烟草蚜传病毒病的预测模型。

Based on data of meteorological factors and tobacco virus diseases transmitted by aphids from 1980 to 1998 in Qingzhou of Shandong province prediction models were established by means of BP neural network .

文章提出了GM（1,1）预测模型的两阶段优化方案，经比较，预测模型结果明显优于常规GM（1,1）模型。

This paper presents a two-stage optimization scheme of grey model . An improved GM ( 1,1 ) model can achieve much better results than the conventional one in forecast .

利用在美国加利福尼亚州ImperialIrrigationDistrict灌渠试验得到的数据验证了最大相对误差和随机不确定度预测模型的有效性。

The validity of this model and the model of predicting random uncertainty are verified by field test data for the measurement of an irrigation canal in Imperial Irrigation District in California , USA.

文章通过引入神经网络技术来建立水质预测模型，分别采用LM算法和RBF算法来提高预测的精度。

In this paper , one water quality model was developed using neutral network technology . LM algorithm and RBF algorithm were used to increase predictive precision .