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A fusion model of HMM, ANN and GA for stock market forecasting.pdf 股票预测，使用方法：HMM，ANN（神经网络），GA（遗传算法）等！
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人工神经网络在股市预测中的应用研究
硕士论文-Artificial Neural Networks in the stock market forecasting research master' s thesis
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使用C++的基于神经网络（BP）算法的股票预测程序-The use of C++ s Based on neural network (BP) algorithm stock forecasting process
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Advanced LPC Trading System - Matlab source codeLinear Predictive Coding for Stock Market Forecasting
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Abstract Advantages and limitations of the existing models for practical forecasting of
stock market volatility have been identified. Support vector machine (SVM) have been proposed
as a complimentary volatility model that is capable to extract i
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采用隐马尔可夫模型对股票市场走势进行预测-Stock Market Forecasting Using Hidden Markov Model
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Hurst计算，可应用到股市分析，水文，气候，NDVI等地理要素可持续分析和预测-Hurst computing can be applied to geographic features stock market analysis, hydrology, climate, NDVI and other sustainable analysis and forecasting
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1.基于概率神经网络的手写体数字识别
2.径向基网络预测地下水位
3.BP神经网络实现图像压缩
4.Elman网络预测上证股市开盘价
5.基于自组织特征映射网络的亚洲足球水平聚类-1. Identify 2. RBF neural network forecasting of groundwater 3.BP neural network image compression 4.Elman network forecasting the stock market opened o
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BP神经网络股票建模,随着股票市场混沌和分形理论的逐步确立，人们开始利用神经网络对证券市场的变动加以预测。本文的研究目的在于为股市提供一种基于BP神经网络的股价预测方法，以便提高股价预测时的运算速度和精确度，为股票市场的个人投资者和机构投资者提供新的实用方法。(BP Neural network stock modeling, with the stock market chaos and fractal theory gradually established, people began to
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Stock market return forecasting
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