Pangyu

使用BP神经网络、RBF神经网络以及PSO优化的RBF神经网络进行数据的预测

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在聚宽（joinquant）平台上使用多因子策略进行量化投资模拟。

stxupengyu

使用粒子群算法优化的RBF神经网络进行预测。RBF neural network optimized by particle swarm optimization is used for prediction.

stxupengyu

Here is the exercise solution of stochastic process Ross 2nd Edition collected by the author. The answers are from the stochastic process courses of Umich, Columbia University and BJTU respectively. D...

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使用LSTM对股票价格进行回归预测，对股价涨跌进行分类预测。We use LSTM to forecast the stock price and classify the rise and fall of the stock price.

stxupengyu

使用RBF、BP神经网络进行预测。RBF/BP neural network is used for prediction.

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使用bp神经网络预测电力负荷，使用小型数据集，通过一个简单的例子。Using BPNN to predict power load, using small data set, a simple example.

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使用经典的AR、MA、ARMA、ARIMA、ARCH、GARCH时间序列模型进行模型的检验和拟合。The classic AR, MA, ARMA, ARIMA, ARCH, GARCH time series models are used to test and predict the model.

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