价格预测

传统上惯用的线性回归分析方法所给出的原油价格预测值往往较大地偏离实际值，有时不得不放弃使用线性回归。

The conventional linear regression method gives crude price forecasts that deviate significantly from actual values , and sometimes has to be dropped .

基于Agent的水产品价格预测支持系统

Aquatic Products Price Forecasting Support System Based on Agent

GM（1,1）在股票价格预测中的运用

The application of GM ( 1,1 ) model in forecasting stock-prices

基于BP和SOM神经网络的股票价格预测的研究

The Research of BP and SOM Neural Network in Prediction of Stock Price

应用基于BP神经网络的权证定价方法可以缩小对权证价格预测的误差。

Therefore , the pricing method based on BP Neural Network can reduce the price deviation in the forecast .

实验结果表明：遗传算法具有优化训练BP网络的能力，将遗传算法优化的BP网络模型应用于股票价格预测是可行的、有效的。

The application of BP network model upgraded by genetic algorithm into stock price prediction is feasible and effective .

基于ARIMA模型的我国石油价格预测分析

Predictive Analysis of China 's Oil Price based upon ARIMA Model

基于LM算法的石油期货价格预测研究

Petroleum Futures Price Prediction Research Based on LM Algorithm

ARIMA模型在农产品价格预测中的应用

Application of ARIMA model in forecasting agricultural product price

通过实验结果还可以得到：将EMD算法与BP神经网络相结合可以实现更高精度的价格预测结果。

The control experiments also demonstrate that combining EMD algorithm with BP neural network can achieve a more accurate prediction on the prices of stock index futures .

本文首先综述研究了股指期货价格预测的多种方法，通过对不同方法的优劣性进行简要的比较分析，确定了本文选用BP神经网络对股指期货价格进行预测。

After a brief comparative analysis of the pros and cons of different methods , the author selects BP neural network as a basic approach for forecasting the price of stock index futures .

实证结果显示运用GARCH（1,1）模型下的波动率进行蒙特卡罗模拟定价能够提供更好的价格预测。

The results show that Montel-Carlo model which used volatility in GARCH ( 1,1 ) can give more reasonable warrants pricing .

对南山实业股票价格预测后发现，改进的GM（1,1）提高了预测的精度，具有更高的应用价值。

The result from forecasting the stock price change of Nanshan Industrial Corporation shows that the adjusted GM ( 1,1 ) model is more accurate and more available than the original one .

国际能源机构（iea）昨天将2030年国际石油价格预测提高到每桶至少65美元。

The International Energy Agency yesterday raised its forecast for international oil prices to at least $ 65 a barrel in 2030 .

认为LOGISTIC回归模型较传统多元线性回归模型在房地产价格预测方面具有较大优势。

Therefore , it is believed that the model based on LOGISTIC regression analysis has greater advantage than that of traditional multi linear regression model ( LRM ) at the price forecasting of real estate .

本文的目的在于通过对房价价格预测问题的深刻认识下，采用了BP神经网络的思想和方法，建立了BP神经网络模型对房价进行预测。

The purpose of this essay is through to the price of house prediction problem under the profound understanding , using BP neural network , the ideas and methods of BP neural network model was established to predict prices .

综述了基于Agent程序的开发方法，提出采用面向领域工程的Agent方法进行系统设计，从水产品价格预测定义出发，构建了水产品价格预测的领域本体模型；

This paper summarizes the methods for developing program based on agent , presents aquatic products price forecasting support system should be designed via agent method based on domain engineering . The domain ontology is abstracted from the definition about aquatic product price forecasting .

一些市场观察人士说，承销行的分析师对这只股票的价格预测很可能高于发行价，或与发行价持平，以表明银行和Facebook将发行价定在38美元是合理的。

Some market observers say underwriting bank analysts ' price targets on the stock likely will be at or above the offer price to give credence to banks ' and Facebook 's decision to sell shares at $ 38 .

为了克服传统的统计和计量经济学模型的局限性，人工神经网络（ANN）、支持向量机（SVMs）和遗传规划（GeneticProgramming）等计算智能方法被运用于原油价格预测。

Computational intelligence methods such as Artificial Neural Network ( ANN ), Support Vector Machines ( SVMs ) and Genetic Programming ( GP ) are applied to predict crude oil price so as to overcome the limitations of traditional statistical and econometric models .

第二部分以基于回归树的RBF神经网络学习算法为核心构建了期货价格预测模型，并对样本选择、预测规则、误差控制、数据预处理方法和期货收益计算规则等方面进行了说明。

And then it compares it 's capability with other traditional RBF neural network 's learning algorithms . Secondly , it makes the forecasting model true and explains how to select samples , the rules for forecasting and errors control etc.

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 .

本文以大连市商品交易所为背景，将RBF神经网络技术应用于期货价格预测领域，构建了基于RBF神经网络的期货价格预测模型，以期能够更好的服务期货投资者。

In this thesis , the writer uses neural network technology to forecast the futures ' price , building a forecasting model called The Forecast Model of Futures Based on RBF neural network with the background of Dalian Commodity Exchange , hoping to serve investors better .

面对这样的系统，人们用B-S模型等传统的、历史意义上相对精确的定量分析方法和工具只能对可转换债券定价及价格预测有历史和近似的认识，再进一步，都勉为其难。

As for this system , we can do nothing but get some historical and approximate understand of establishment and forecasting transferable price by traditional and relatively exact quantitative analysis method like B-S model .

分析了利用AR（1）-MA（0）模型进行房地产价格预测的基本思想、操作流程，推导了AR（1）-MA（0）模型进行房地产价格一步及多步预测的公式。

This paper analyzed the basic thought and operating flow of real estate price forecast by using AR ( 1 ) - MA ( 0 ) model , deduced the AR ( 1 ) - MA ( 0 ) model formula for one-step and multi-step forecasting the real estate price .

2008年奥运会门票价格预测研究

A Prediction on the Ticket Price for 2008 Beijing Olympic Games

模糊神经网络在可转换债券价格预测中的应用

The pricing model of convertible bonds by fuzzy artificial neural network

目前，中油化工的定价模式存在严重的问题，造成了定价不到位，其根本原因在于价格预测不准。

The root of those questions is the inaccurate price prediction .

基于组合灰色神经网络模型的电力远期价格预测

Electricity Forward Price Forecasting Based on Combined Gray Neural Network Model

基于小波分析的铁矿石海运价格预测研究

Study on Forecasting Iron Ore Freight Rates Based on Wavelet Analysis

基于非参数的水产品价格预测系统研究

A Forecasting System for Aquatic Products Price Based on Non-parameter Model