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网络股票
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  internet stock
     Internet Stock Analysis and Trade System
     网络股票分析交易系统
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  相似匹配句对
     Networking
     网络
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     Network Data
     网络
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     Internet Stock Analysis and Trade System
     网络股票分析交易系统
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     Stock analysis method of approaching nonlinear function based on wavelet network
     基于小波网络的非线性逼近股票分析方法
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     An Approach to the Measurement of Stock Liquidity
     股票流动性的度量方法
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  internet stock
However, a nested transaction model has been widely adopted in many real-life applications such as Internet stock trading systems and telecommunications.
      
An estimated 85 percent of Internet revenue and 95 percent of Internet stock accrues to USA.
      
All this attention to internet stock messages caused us to wonder whether these messages actually contain financially relevant information.
      
Financial press reports claim that internet stock message boards can move markets.
      
Firstly, one author suggested that during the Internet stock boom of the mid and late 1990s, underpricing was as high as 50%.
      
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This paper presents a method for stock market modeling and forecasting based on fuzzy neural network, genetic algorithm is used to learn the connection weights of the fuzzy neural network and partitions of fuzzy subsets. It has been shown by the modeling and forecasting results about Shanghai stock market price index and a company stock price that the method has reinforcement learning properties and mapping capabilities. With respect to modeling and forecasting of nonlinear system which has some uncertainties,the...

This paper presents a method for stock market modeling and forecasting based on fuzzy neural network, genetic algorithm is used to learn the connection weights of the fuzzy neural network and partitions of fuzzy subsets. It has been shown by the modeling and forecasting results about Shanghai stock market price index and a company stock price that the method has reinforcement learning properties and mapping capabilities. With respect to modeling and forecasting of nonlinear system which has some uncertainties,the method is available.

提出一种基于模糊神经网络的股票市场建模与预测方法,并采用遗传算法训练网络权值及模糊子集的划分.对于上证指数及个股(上海石化)的建模与预测结果表明,该方法具有很强的学习与泛化能力,在处理诸如股票市场这种具有一定程度不确定性的非线性系统的建模与预测方面有很好的应用价值

This paper is focused on using neural networks (NN) method to predict stock market- Firstly, the complexity of stock market and the existed prediction methods are summarized. Secondly, a noval method for optimizing the strucutre and weights of NN is proposed, which combines genetic algorithm (GA) and Davidon,s least squares algorithm. Finally, Shanghai stock indexes are fitted and predicted. The good results confirms the performance of the method.

本文研究了基于神经网络的股票预测方法.针对目前存在的问题,提出了联合Davidon最小二乘算法及遗传算法来综合训练网络结构和权值的新方法.经对上证指数的模拟预测表明,通过合理地选取参数,可获得满意的预测效果.

Based on a technical analysis,a stock price prediction model based on neural networks is established.This model is employed to predict sort term stock prices of some stocks in the Shanghai and Shenzhen stock markets,and fairly satisfactory results are obtained.The influences of input parameters,such as opening price,closing price,ceiling price,the lowest price,volume,etc.,on the performance of the neural networks are analyzed.

在技术分析基础上,建立了神经网络的股票短期走势预测模型,对深圳和上海股票市场中的几种股票价格走势进行预测,取得了满意的结果。同时,还对神经网络的输入参数(开盘价、收盘价、最高价、最低价和成交量)的不同组合产生的预测结果进行了对比分析。

 
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