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Description: 股票价格的灰色_马尔柯夫预测,含公式和部分计算方法。-stock price gray _ Markov forecast, and some containing formula calculation.
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Size: 409236 |
Author: 刘大 |
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Description: 神经网络支持向量机程序，用于模式识别，股指预测-neural network SVM procedures for pattern recognition, stock index forecast
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Size: 315392 |
Author: yuhuihai |
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Description: 采用vb编写的利用循环神经网络来预测股票走势的源程序-prepared using cyclic neural network to forecast the stock trend of the source
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Size: 171008 |
Author: pearllu |
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Description: 这是mallat算法的matlab程序应用，对于想要进行股票预测的股民或者学生，这是必不可少的程序阿，有什么需要，我会尽量满足大家的。
-Mallat algorithm Matlab application procedures, For want forecast for the stock of shareholders or students, it is essential to the process A, what is necessary, I will try to meet all the people.
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Size: 3072 |
Author: wang |
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Description: 股票价格的灰色_马尔柯夫预测,含公式和部分计算方法。-stock price gray _ Markov forecast, and some containing formula calculation.
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Size: 408576 |
Author: 刘大 |
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Description: 详细的介绍了股价预测的非线性方法，并对各种方法进行比较，得出了一种适合预测股市的GA—elman算法。-Detailed introduction of the stock of non-linear forecasting methods and compare the various methods, to draw a market forecast for GA-elman algorithm.
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Size: 5273600 |
Author: sunyan |
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Description: 简单的bp算法 用c实现的 用于股票预测很实用-Bp simple algorithm using c to achieve the forecast for the stock is very practical
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Size: 565248 |
Author: 熊秋燕 |
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Description: 用径向神经网络对股票走势进行预测，效果不错-Using RBF to forecast stock
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Size: 6144 |
Author: 史峰 |
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Description: 股票交易预测 k线图绘制 5日均线，10日均线，20日均线，60日均线 计算-Stock forecast mapping k line 5 average, 10 average, 20 average, 60 days moving average calculation
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Size: 1024 |
Author: yy001 |
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Description: 利用多分辨分析方法,结合小波分析和神经网络思想构建一种新型的神经网络模型———小波神经网络,解决了传
统神经网络中隐层节点数难以确定的问题。通过对股票的预测,说明该方法能有效地提高预测精度, 避免了人工神经网
络模型的固有缺陷。
-Using multi-resolution analysis method, combined with wavelet analysis and neural network ideological construct a new neural network model--- wavelet neural network to solve the traditional neural network hidden layer nodes is difficult to determine. Forecast by the stock, indicating that the method can effectively improve the prediction accuracy of artificial neural network model to avoid the inherent shortcomings.
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Size: 210944 |
Author: |
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Description: Stock forecast program source code
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Size: 369664 |
Author: jena |
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Description: 以深 市 A股中的个股 中集集团(股票代号 ：
000039)fleJ 180天的实际收盘价的时间序列作为预测对象，提出基于改进的 Elman神经网络的个股价格预测模型，实验
结果取得较高的预测精度、较为稳定的预测效果和较快的收敛速度-CIMC Shenzhen A-share stocks (ticker symbol:
000 039) fleJ 180 days of the actual closing price time series as a predictor of the object, the stock price prediction model based on improved Elman neural network, experiments
Results to achieve a higher prediction accuracy and a more stable prediction and faster convergence rate
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Size: 189440 |
Author: 陈花 |
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Description: 股票预测，用于大家的股票预测，程序很精良，是大家的不错的一个选择。-Stock forecast, used for everyone s stock forecast, and the program is very excellent, is everyone s a good choice. Ha ha
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Size: 1024 |
Author: 张伟 |
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Description: 数据挖掘之股票预测系列培训The data mining stock forecast series training-The data mining stock forecast series training
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Size: 3779584 |
Author: 逍遥游 |
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Description: 本文是一片关于股票预测的论文，详细介绍了BP神经网络在股票预测中的应用。-This article is a stock forecast paper, detailing the application of BP neural network stock prediction.
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Size: 141312 |
Author: mali |
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Description: 包含java版的股票预测以及matlab版的预测系统源码。包含的GUI界面-Contains the java version of the stock forecast as well as the predicted source matlab version. Contains the GUI interface
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Size: 17305600 |
Author: 朱 |
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Description: 对NYSE股票日收盘价格，运用GARCH或者ARCH模型进行分析，并预测2012年5月1日到2012年5月9日的价格。将预测值与真实值对照，比较误差。-Closing stock price on the NYSE, using GARCH or ARCH models to analyze and predict the price May 1, 2012 to May 9, 2012 in. The predictive value and the true value control, more errors.
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Size: 121856 |
Author: liuqinpan |
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Description: 神经网络上证股票开盘预测matlab程序
含有所需股票数据-The Shanghai stock market opening price forecast
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Size: 4096 |
Author: 王先生 |
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Description: 利用灰色预测公司的利润；基于时间序列的股票价格预测(Profit from the grey Forecast Ltd; stock price prediction based on time series)
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Size: 17408 |
Author: Massssss |
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Description: 使用强化学习完成股票预测。强化学习是机器学习的另一个分支，在决策的时候采取合适的行动 (Action) 使最后的奖励最大化。与监督学习预测未来的数值不同，强化学习根据输入的状态（如当日开盘价、收盘价等），输出系列动作（例如：买进、持有、卖出），使得最后的收益最大化，实现自动交易。(Using reinforcement learning to complete stock forecast)
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Size: 4338688 |
Author: 石头陈 |
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