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神经网络方法在股市预测中的应用研究
神经网络方法在股市预测中的应用研究-neural network method in the stock market prediction of neural network research in the stock market prediction of the Applied Research
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一个神经元网络，股票市场行为预测，一个神经元网络，股票市场行为预测。为啥一定20个字？-A neural network, predict stock market behavior, a neural network, predict stock market behavior. Why must 20 words?
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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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BP_神经网络与RBF_神经网络对上证股市的预测实验-BP_ neural network and neural network RBF_ the Shanghai stock market prediction experiment
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This my first implementation of gradient descent algorithm in which I will write about the evolution of neural networks. I will start with the most simple network of all, the Single Layer Perceptron, and work through different architectures and learn
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神经网络的深度应用，预测股市的变化，需要采集较多的数据训练神经网络-Depth application of neural networks to predict changes in the stock market, you need to collect more data to train the neural network
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利用MATLAB的反馈网络-Elman神经网络处理时间序列问题的功能预测上证股市开盘价。-Elman Feedback network using MATLAB neural network for time series prediction problem function on card stock market opening.
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stock market openprice predictor using inbuilt matlab neural network functions
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Elman网络预测上证股市开盘价，matlab神经网络算法实现-The Shanghai stock market opening price prediction Elman neural network, matlab neural network algorithm
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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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通过神经网络来进行股票预测，实现对未来股市的上证大盘的预测。-Stock through neural network prediction, realizes the stocks of Shanghai stock market forecast for the future.
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人工神经网络源码,用于分析证券市场的人工神经网络源码-
Artificial neural network source
Stock Market Analysis for Neural network source
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Elman网络预测上证股市开盘价的一个小程序，用matlab写的-Elman neural network to predict the stock market opening permit a small program, written with matlab
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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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基于主成分分析和神经网络算法的股票行情预测(Stock market forecast based on principal component analysis and neural network algorithm)
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