搜索资源列表
mallatMATLAB
- 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 mee
NeuralNetCS
- 股票预测的程序,希望对大家有帮助,有源码
stock_market_forecasting
- 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!
Efficient
- 往BP神经网络容易陷入局部极小值的缺点,同时为股票预测提供了一种新的思路和研 究方法,具有一定的理论意义和实际应用价值 -Stockmarket15closelyrelatedwiththeeeonomieactivities.
AIS
- 标准的免疫算法,正真的免疫算法。C++程序段-immuune algorithm,real immuune algorithm
新建文件夹
- 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
tick
- 采用卡尔曼滤波的方法对两只股票走势相近的股票进行预测,进行低买高卖的操作,从中获利。(Kalman filter method is used to predict two stocks with similar trend, and the operation of buying low and selling high is carried out to profit from it.)
arima
- 通过一段ARIMA模型程序来预测股票上证指数(Prediction of Shanghai Stock Index by an ARIMA Model Program)
stock_predict_with_LSTM-master
- 深度学习,LSTM股票预测,python代码(Deep Learning, LSTM Stock Forecasting, Pthon Code)
RNN_LSTM股市预测
- lstm用于股票预测,效果较好,欢迎下载,希望满意(LSTM used for stock forecasting, good effect, welcome to download, hope to be satisfied)
RL-Stock-master
- 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)
stock-rnn-master
- 用深度学习算法进行股票价格预测,文件中含有数据集(Using deep learning algorithm to forecast stock price, the file contains data set)
RNN_股票预测
- 基于python语言,tensorflow框架,通过rnn循环神经网络实现对茅台酒开盘价的预测(Based on Python language and TensorFlow framework, the prediction of opening price of Moutai wine was realized through RNN circulating neural network)
stock_predict_with_LSTM-master
- 基于python的LSTM做股票预测源代码(Based on Python LSTM stock forecast source code)
股票市场预测
- LSTM 作为预测模型,使用贝叶斯优化算法来实现股票预测的功能(LSTM as a prediction model, uses Bayesian optimization algorithm to achieve the function of stock forecasting)
基于BP神经网络的股票数据预测模型
- 采用了BP神经网络的算法能较好的预测股票收盘价的趋势(BP neural network algorithm is used to predict the trend of stock closing price)
hybrid-ARIMA-LSTM-model-master
- 使用LSTM-ARIMA模型进行混合预测,ARIMA做线性部分的预测,LSTM做非线性部分(LSTM-ARIMA model is used for mixed prediction, ARIMA for linear prediction and LSTM for nonlinear prediction)
lstm回归预测模型
- 长短时记忆神经网络回归预测模型,可做负荷预测,能耗预测,股票预测等。
基于卷积神经网络的回归预测
- 基于卷积神经网络的回归预测,可做股票预测,能耗预测等。