Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting
Algorithm 1
SMBO algorithm.
Input: the dataset , the RMSE of the proposed model , the hyperparameter space , the UCB acquisition function , the number of parameter selections is , the number of decomposition components .
Output: Returns the optimal hyperparameter .
(1)
(2)
for to do
(3)
Select the hyperparameters within the hyperparameter space .
(4)
Model the objective function and calculate the posterior probability.
(5)
Use the UCB acquisition function for parameter update
(6)
Use the hyperparameter to train the proposed network to obtain, and calculate and update .
