The Power Market Clearing Price Forecasting Based on RBF Network;
电力通过低压网络发送的附属站。
The product price forecasting model based on function-driven was presented by use of LS-SVM.
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 accuracy of the electricity price forecasting is very important to power plants bidding decision.
在电力市场中边际电价预测得准确与否，对于发电厂的竞价决策具有非常关键的影响。
The discovery of long memory suggests possibilities of constructing nonlinear econometric models to improve price forecasting performance.
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。
By means of introducing ripe geometrical Brown movement model for common commodity price forecasting a coal price fluctuation model of coal market is established.
通过引入用于预测普通商品价格的较成熟的几何布朗运动模型建立了燃煤市场的煤价波动模型。
In power markets, accurate electricity price forecasting can help all market participants make optimal bidding or purchasing decisions and maximize their proceeds.
在电力市场中，准确的电价预测能够为市场参与者确定最优报价策略或购价策略提供指导，为他们带来最大化的收益。
The algorithm of quotes price forecasting of power plant based on fuzzy accumulation analysis is introduced, and the adoption of mathematic method for forecasting q...
该文介绍了一种基于模糊聚类分析的电厂报价预测算法，研究了如何在不涉及具体电厂报价策略的情况下采用数学方法预测电厂报价。
The case of Nokia cellphone product price forecasting was adopted to illustrate the principle of samples function data standardization and the procedure of calculation.
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。
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.
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。
Electricity price is the core content in electricity market environment. All parties taking participates in power market are urgent to need high-accuracy price forecasting methods.
电力市场环境下，电价是整个市场的核心内容，市场参与各方都迫切需要准确的电价预测方法。
To take charge of supervision and forecasting for exchange of regional price, as well administer and coordinate them.
负责监测和预测全区价格总水平变动趋势，进行全区价格宏观管理和综合平衡。
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.
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。
The existing forecasting tools are not fit for generic users by reason of their high price and speciality.
已有的预测工具由于价格昂贵，专业性很强，不适于一般用户使用。
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。
So we need some new breakthroughs in establishment and forecasting transferable bond's price whether in theory or in practice.
这要求可转换债券的定价或价格预测的研究无论从理论上还是从实践上都应有新的突破。
A new way of forecasting the price interval of convertible bonds is explored by means of this work.
该工作为可转换债券价格运行区间的预测探索了一条新的途径。
As real estate price indices play more significant roles, it is necessary to give more effective method for forecasting real estate price indices.
随着房地产价格指数的作用充分显现，探求预测房地产价格指数的有效方法是需深入研究的方向。
Students in this major study micro - and macroeconomics with a focus on the consumer. Topics of instruction include consumer behavior, price theory, specialized math, economic forecasting, and more.
消费经济学专业学习从消费者角度来研究宏观及微观经济。课程包括消费行为，价格理论，专业数学，经济预测等。
The forecasting of stock price affects directly the decisions and immediate economic interests of investors. So the demand for accurate forecasting is high.
对股票价格的预测直接影响到投资者的投资决策，关系到投资者的切身经济利益，因而对预测的准确性要求较高。
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。
Comparing to the results from traditional support vector machine for forecasting market clearing price and price spike in power market, the TGA-SVM manifests the more accurate forecasting results.
将其应用于电力市场出清价及价格钉的预测实例研究，与传统的支持向量机预测结果比较，三角旋回支持向量机具有更高的预测精度。
As a result, constructing the model of combined forecasting to predict the fluctuation of stock price has a theoretical value and a strong guidance.
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。
A phase space reconstructed forecasting method of stock price was proposed based on least squares support vector machines (LS-SVM).
提出一种基于相空间重构的最小二乘支持向量机(LS - SVM)的股票价格预测方法。
Therefore, this paper takes the study specifically on the forecasting of short-term and long-term price of crude oil futures and naphtha.
因此本文针对原油期货和石脑油的短期和长期的价格预测进行研究。
Therefore, this paper takes the study specifically on the forecasting of short-term and long-term price of crude oil futures and naphtha.
因此本文针对原油期货和石脑油的短期和长期的价格预测进行研究。
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