This paper mainly discusses the application of B-P network in stock forecasting and analysis. contrasts the network function in different conditions.
该文主要研究人工神经网络中的B-P网在股票分析和预测中的应用，对比各种情况的网络性能。
Because stock forecasting is a uncertain, nonlinear and nonstationary time series problem, it is difficult to achieve a satisfying prediction effect by traditional methods.
由于股票预测是不确定、非线性、非平稳的时间序列问题，传统的方法往往难以取得满意的预测效果。
The proceeds of stock investment always equal the risk. So establishing a stock forecasting model, which has higher operation rate and precision, has theoretical significance and applicable value.
由于股票投资的收益与风险往往是成正比的，如何建立一个运算速度和精确度都比较高的股市预测模型，对于金融投资者具有理论意义和实际应用价值。
But if their sales forecasting is not on the button, companies risk annoying consumers who cannot get hold of their products because they are out of stock.
但是如果零售商们的销售预测不准确，他们则会面临惹恼消费者的风险；这些消费者会因为他们的断货而无法获得所需的商品。
Every time he buys a stock or a business or some other investment, he's forecasting the future.
每一次他买入股票和收购企业之时，都是在预测未来。
Neural networks have been used as a mechanism of knowledge acquisition for expert system in stock market forecasting with astonishingly accurate results.
神经网络已被用为股票市场预测专家系统的知识获取的一种机制，并取得了惊人的准确结果。
Good mechanisms for forecasting stock prices will not be found because their very discovery would affect stock prices.
人们不可能找到可靠的股价预测机制，因为找到这一机制本身就会影响股价。
In the final chapter, we mine stock trading data using time series method, find out the model and outliers in the data and, at last, we show the more exact forecasting model and outlier mining method.
第五章利用时间序列的方法对证券交易数据进行了挖掘，找出了数据中的模式和异常，相对传统方法而言，给出了更精确的预测模型和异常挖掘方法。
Forecasting stock yield is the kernel problem in researching asset price-making.
股票收益率的可预测性是资产定价研究中的核心问题。
It applies to many aspects such as the evaluation of capital costs, stock returns forecasting, the valuation of portfolio performance and event studies.
并在诸如资本成本估算，股票收益预测，证券组合表现评价以及事件研究分析等方面得到了广泛的应用。
This paper presents a method based on BP neural network for a stock market modeling, forecasting and deciding.
给出一种基于BP神经网络的股票市场建模、预测及决策方法。
The effective implementation of good cooperative relationship with suppliers, reduce stock and cost, increase the accuracy of forecasting and efficiency of the whole supply chain.
该管理模式的有效运作有助于企业与供应商建立良好的合作伙伴关系，降低库存和成本，提高采购预测的准确性和整个供应链的效率。
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。
Stock market forecasting is a very difficult problem for study and the forecasting support system is an effective method.
股票市场的预测是一个非常难的研究课题，建立股票预测支持系统是进行股票预测的一种有效手段。
The capital stock is a fundamental variable for regressing macro production function and forecasting economy in metaphase and long-term.
资本存量是建立宏观生产函数、进行中长期宏观经济预测等宏观经济研究的一个基础变量。
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。
As a result, it is necessary to replace the traditional statistic model with nonlinear model that can deal with imperfective information in order to improve the quality of forecasting stock market.
股市的运行是一个非常复杂的不完备的非线性过程，因此，需要用对不完备信息进行处理的非线性模型代替传统的统计模型，以便进一步提高股市预测的质量。
In this paper, we mainly discuss several forecasting methods, as well as their applications in Zhejiang electricity markets and Chinese stock markets.
本文主要讨论了几种预测方法以及在浙江电力市场和中国股票市场的应用实例。
However there are lots of problems in the supply chain management, demand forecasting deviated real market demand, severe bullwhip effects, the high stock costs and low level of service, etc.
但是供应链管理中存在着需求预测偏离市场、牛鞭效应严重、库存成本高、服务水平低等问题。
And after an impressive 2010, stock-market strategists are forecasting good gains again for 2011.
在收益颇丰的2010年之后，股票策略师预测，2011年的股市仍然会有不错的表现。
Using the A-stock data in the Chinese stock market from 2004 to 2010, we examine whether firms' historic forecasting reputation affects investor response to their subsequent forecasts.
本篇论文采用2004年至2010年A股市场上发布管理层预测的公司作为研究对象，研究公司的历史预测声誉是否会影响投资者对公司的盈利预测的反应。
Using the A-stock data in the Chinese stock market from 2004 to 2010, we examine whether firms' historic forecasting reputation affects investor response to their subsequent forecasts.
本篇论文采用2004年至2010年A股市场上发布管理层预测的公司作为研究对象，研究公司的历史预测声誉是否会影响投资者对公司的盈利预测的反应。
应用推荐