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Time-Series-Forecasting-Using-Deep-Learning-for-generation-data
Time-Series-Forecasting-Using-Deep-Learning-for-generation-data PublicThe Project was a study of how closely time series predictions and forecasting can be made on stochastic time models modelled using different artificial neural networks namely LSTM and GRU.
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matlab-bayesian-estimation
matlab-bayesian-estimation PublicForked from NilsWinter/matlab-bayesian-estimation
Matlab Toolbox for Bayesian Estimation
MATLAB 2
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Sensitivity-based-Damage-Detection
Sensitivity-based-Damage-Detection PublicForked from cgkrishnanunni/Sensitivity-based-Damage-Detection
Contains MATLAB implementation of damage identification algorithm
MATLAB 2
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Deep-Neural-Network-based-Approaches-in-Wind-Time-Series-Forecasting
Deep-Neural-Network-based-Approaches-in-Wind-Time-Series-Forecasting PublicForked from mijancse/Deep-Neural-Network-based-Approaches-in-Wind-Time-Series-Forecasting
This respiratory contains the implementation codes of wind-speed prediction in energy forecasting. This study focused on deep neural network based approaches, like the nonlinear autoregressive exog…
MATLAB 2
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PSO_LSTM-Example
PSO_LSTM-Example PublicForked from unixyhuang/PSO_LSTM-Example
This file includes datasets and LSTM combined with PSO algorithm MATLAB code.
MATLAB 2
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