根据以上的三个系统，我们可以确定股票价格预测模型。
By the three systems above, we could build the model of stock price evaluating.
以最小二乘支持向量机为工具，构建了基于功能驱动的产品价格预测模型。
The product price forecasting model based on function-driven was presented by use of LS-SVM.
本文进行的研究工作如下：（1）基于灰色系统理论的化工产品价格预测模型的建立及验证。
The study work of this paper as follows:(1) Price forecast model for chemical product is established and verificated which is based on grey system theory.
期货价格预测模型是构筑在本模型之上的、更高一层次的综合预测，拓展用户使用我们模型的思路；
The second one, Stock Price Prediction Model, is a more complicated and compositive model which show a expended way to use our model;
通过多个实验分析，发现，温特斯模型和BP神经网络模型分别是原油期货和石脑油的较精确价格预测模型。
Through analysis of several experiments, we find that Winters model and BP neural network model are more accurate for price forecasting of crude oil futures and naphtha.
在EWMA和GARCH模型思想的基础上，提出基于GARCH - EWMA的期货价格预测模型，为期货市场合约价格的预测提供新的预测方法。
Future price model is introduced based on the model of EWMA and GARCH, which offers a new computing method for the determination of the future markets.
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。
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.
它们的数学模型依赖于过去的交易规律，在其它证券价格变化(例如下跌)时，预测某种证券未来的表现。
Their mathematical models rely on past trading patterns to predict how particular securities will perform in the future if other securities, say, fall in price.
该模型预测，到2050年天然气和汽油的价格将分别上涨超过160%和32%。
The model forecasts that by 2050 natural gas and petrol will cost 160 per cent and 32 per cent more respectively.
他们认为，剩下模型没法预测因素的价格上升部分，是没有实质经济因素支撑的，而且十分容易回落。
They argued that what is left-the part of price rises that is unexplained-is without substance and vulnerable to a correction.
从研究单一蔬菜品种卷心菜开始，利用ARIMA理论和方法，从模型的识别、诊断、拟合与预测定量地研究其价格的问题。
As the example of the single vegetable species cabbage, its price problem is studied quantificationally in the facts of identification, diagnose, mimic and forecasting by using ARIMA model.
长期记忆性的存在使得有可能通过建立非线性经济计量模型以改进价格预测效果。
The discovery of long memory suggests possibilities of constructing nonlinear econometric models to improve price forecasting performance.
以2002年年末至2006年年初的WTI原油价格数据为基础，构建ARIMA模型并对2006年度的油价走势进行分析和预测。
Based on the WTI price data between the end of 2002 and the beginning of 2006, an ARIMA model is built to make a forecast of the tendency of petroleum price.
通过策划，各种数学模型和分析，技术分析家们希望能够预测某一特定股票价格的未来变化。
By using plotting and various mathematical models and analysis, technical analysts hope to be able to predict future changes in the price of a particular stock.
模型对系统边际电价和“价格钉”具有良好的预测能力。
The model can be used to forecast the system marginal price and price spike for.
采用归一化数据处理方法，选择神经网络的训练样本，建立基于BP神经网络的居民消费价格指数预测的数学模型。
Adopted the data processing method of the normalization, choose the training sample of the neural network, the mathematical model of the consumer price index based on BP nerve network predicts set up.
本文中的股票的均衡价格模型，根据供应量和需求量及影响供求关系的各种因素的变化来预测价格走势。
The equilibrium model of stock price in this paper predict the tendency of stock prices according to the quantity of supply and demand and factors that can influence the supply-demand relationship.
研究利用GM包络模型预测可转换债券价格的运行区间。
This paper introduces a GM envelopment model to predict the price interval of convertible bonds.
本文通过对服从有限马尔可夫链的标的资产价格波动率进行分析，得出了在未来时刻波动的预测模型，并给出了相应的期权定价方法。
By analyzing asset price vibration rate following limited Markov chain, prediction model of future time vibration rate and related pricing method of stock option are made.
建立和实现了基于灰色理论的电力市场期货价格的改进GM(1,1)预测模型。
We establish and accomplish the improved GM (1, 1) forecast model for the forward price in power market, which is based on the grey theory.
当专家想要预测原油的价格，他们会使用所有模型的加权组合，因为没有一个单一的模型能提供准确的预测。
When experts want to predict the price of crude oil, they use a weighted combination of all the models since no one model alone offers an accurate prediction.
并以诺基亚手机产品价格预测为例，说明了样本功能数据标准化的原则及模型的计算过程。
The case of Nokia cellphone product price forecasting was adopted to illustrate the principle of samples function data standardization and the procedure of calculation.
因此，构建组合预测模型来预测证券价格的波动，既具有一定的理论价值又具有较强的现实指导意义。
As a result, constructing the model of combined forecasting to predict the fluctuation of stock price has a theoretical value and a strong guidance.
采用相关模型，预测未来几期两地房地产价格的平均值。
We adopt the correlation model to predict the future stages of the average real estate prices in the two cities.
股票价格的频繁波动是股票市场最明显的特征之一，自回归条件异方差类模型可以很好地预测金融资产收益率的方差。
Frequent volatility is a feature of stock market. Autoregressive Conditional Heteroscedasticity (ARCH) model is often used to forecast the variance of the benefit of financial capitals.
提出了一种利用神经网络BP算法模型于发现和预测商业市场价格变化趋势的模型。
This paper puts forward a model of discovering and forecasting price trend in market, based on neural networks BP algorithms.
提出了一种利用神经网络BP算法模型于发现和预测商业市场价格变化趋势的模型。
This paper puts forward a model of discovering and forecasting price trend in market, based on neural networks BP algorithms.
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