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leiyycoco
ad0a0c4359
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1 year ago | |
|---|---|---|
| SaveModel | 2 years ago | |
| README.md | 2 years ago | |
| data.py | 2 years ago | |
| feature.py | 2 years ago | |
| main.py | 2 years ago | |
| 需求预测模型.pdf | 1 year ago | |
README.md
Demand Forecasting
This is a implenmentaion for combining Neural Network and Hidden Markov Model to conduct demand forecasting.
Key Arguments
Some key arguments:
hidden_dim: the dimension of hidden layer
learning_rate: the learning rate of gradient descent
reg: the regulation intensity
momentum_value: the momentum value in the optimization method
Epochs: the num of iterative traing cycles
num_classes_sa: the num of unknown parameters in the state action matrix
num_classes_s: the num of unknown parameters in the state matrix
Pi_0: the parameter of initial state probability
Model
The trained model is saved in the file "SaveModel".
This is an implenmentaion for combining Neural Network and Hidden Markov Model to conduct demand forecasting.
Python Pickle