搜索资源列表
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5下载：
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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一篇关于粒子群算-遗传算法优化BP神经网络的文章，应用背景股票预测。-Article on the particle swarm optimization- genetic algorithm BP neural network articles, application background stock forecasting.
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参考价值高股价预测的非线性方法研究——神经网络预测方法-Reference value of the stock price forecasting nonlinear method- Neural network prediction method
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基于BP神经网络的纳斯达克指数和道琼斯指数的预测-forecasting of stock index bais of BP neural network
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利用kalman滤波进行股票预测，并与灰色预测，及神经网络算法的预测结果进行比较。-Use kalman filter for stock forecasting, and with gray prediction, and neural network algorithm to predict the results were compared.
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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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基于神经网络的股票价格预测的MATLAB实现，经网络的在实际预测模型中的问题(MATLAB implementation of stock price prediction based on neural network and problems in the actual forecasting model via network)
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基于粒子群——神经网络算法的股票预测系统，将某支股票的大量数据导入程序中，就能对该股票接下来的走向进行分析和预测(The stock forecasting system based on the particle swarm neural network algorithm can analyze and predict the next trend of the stock by importing a large number of data into the program.)
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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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