文件名称:LSTM
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金融数据使用案例
在Matlab 中把文件夹加入工作路径,在命令行中输入 RunLstm(numdely,cell_num,cost_gate)即可。其中:
numdely 是选择预测点的数目
cell_num 是隐含层的结点数目
cost_gate是误差的阈值(此处一般取0.25)(Financial data use cases
Add the folder to the working path in Matlab, and enter RunLstm(numdely,cell_num,cost_gate) in the command line. among them:
numdely is the number of selected prediction points
cell_num is the number of nodes in the hidden layer
cost_gate is the threshold of the error (usually 0.25 here))
在Matlab 中把文件夹加入工作路径,在命令行中输入 RunLstm(numdely,cell_num,cost_gate)即可。其中:
numdely 是选择预测点的数目
cell_num 是隐含层的结点数目
cost_gate是误差的阈值(此处一般取0.25)(Financial data use cases
Add the folder to the working path in Matlab, and enter RunLstm(numdely,cell_num,cost_gate) in the command line. among them:
numdely is the number of selected prediction points
cell_num is the number of nodes in the hidden layer
cost_gate is the threshold of the error (usually 0.25 here))
相关搜索: LSTM
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下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
ReadMe.txt | 278 | 2017-05-01 |
RunLstm.m | 5831 | 2017-05-01 |
DATA.mat | 10193 | 2017-04-30 |
LSTM_data_process.m | 634 | 2017-05-01 |
LSTM_updata_weight.m | 4615 | 2017-05-01 |
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