Multidimensional time series prediction | Matlab based on ZOA-GRU-Attention multivariate time series 24 steps ahead regression prediction algorithm, Zebra optimized gated recurrent unit network fusion attention mechanism regression prediction algorithm - Code World

Multidimensional time series prediction | Matlab based on ZOA-GRU-Attention multivariate time series 24 steps ahead regression prediction algorithm, Zebra optimized gated recurrent unit network fusion attention mechanism regression prediction algorithm

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ZOA-CNN-GRU multivariate time series regression prediction algorithm 24 steps ahead, Zebra optimized convolutional neural network combined with gated recurrent unit network regression prediction algorithm, version 2023 or above is required. Multi-variable feature input, single-sequence variable output, input the features of the previous day, realize the forecast of the next day, forecast 24 steps ahead, optimize the size of the convolution kernel, the number of convolution kernels, and the learning rate, and aim at the minimum MAPE The function displays the calculation results of MAPE, RMSE, and MAE. Applicable to wind speed forecast, photovoltaic power forecast, power generation forecast, output forecast, offshore wind power forecast, carbon price forecast, etc.

Zebra Optimization Algorithm (Zebra Optimizatio

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Multidimensional time series prediction | Matlab based on ZOA-GRU-Attention multivariate time series 24 steps ahead regression prediction algorithm, Zebra optimized gated recurrent unit network fusion attention mechanism regression prediction algorithm

Multiple regression prediction | Matlab based on convolutional neural network-gated recurrent unit combined with attention mechanism (CNN-GRU-Attention) regression prediction, multivariate input model

Multivariate classification prediction | Matlab based on TSOA-CNN-GRU-Attention Transit optimized convolutional neural network combined with gated recurrent unit fusion attention mechanism for data classification prediction

Multiple regression prediction | Matlab based on convolutional neural network-bidirectional gated recurrent unit combined with attention mechanism (CNN-BIGRU-Attention) regression prediction, multivariate input model

Multidimensional time series | MATLAB implements CNN-BiGRU convolutional neural network combined with bidirectional gated recurrent unit multivariate time series prediction

Multidimensional time series | MATLAB implements GRU gated recurrent unit multivariate time series prediction (multi-index evaluation)

Time series prediction | MATLAB implements WOA-CNN-GRU whale algorithm to optimize convolution gated recurrent unit time series prediction

Interval prediction | MATLAB implements QRCNN-GRU convolution gated recurrent unit quantile regression time series interval prediction

Time series prediction | MATLAB implements BO-CNN-GRU Bayesian optimized convolution gated recurrent unit time series prediction

Interval prediction | MATLAB implements multivariate time series interval prediction based on QRCNN-BiGRU convolution bidirectional gated recurrent unit

Interval prediction | MATLAB implements multi-variable time series interval prediction based on QRCNN-GRU-Multihead-Attention multi-head attention convolution gated recurrent unit

Time series prediction | MATLAB implements BO-GRU Bayesian optimization gated recurrent unit time series prediction

Interval prediction | MATLAB implements QRCNN-BiGRU convolution bidirectional gated recurrent unit quantile regression time series interval prediction

Multidimensional time series | MATLAB implements ZOA-CNN-BiGRU-Attention multivariate time series prediction

Multidimensional time series | MATLAB implements SABO-CNN-GRU-Attention multivariate time series prediction

Interval prediction | MATLAB realizes multi-variable time series interval prediction based on QRCNN-BiGRU-Multihead-Attention multi-head attention convolution bidirectional gated recurrent unit

Time series prediction | MATLAB realizes TCN-GRU time series convolution gated recurrent unit time series prediction

Regression prediction | MATLAB implements TCN-GRU time convolution gated recurrent unit multiple input single output regression prediction

Time series prediction | MATLAB implements NGO-GRU Northern Goshawk algorithm to optimize gated cycle unit time series prediction

Classification prediction | MATLAB realizes data multi-feature classification prediction based on Attention-GRU (gated recurrent unit fusion attention mechanism classification prediction, including confusion matrix diagram and classification diagram)

Interval prediction | MATLAB implements a multivariate time series interval prediction model based on QRF random forest quantile regression

Multidimensional time series | MATLAB implements SCNGO-BiLSTM-Attention multivariate time series prediction

Multidimensional time series | MATLAB implements WOA-CNN-BiGRU-Attention multivariate time series prediction

Multidimensional time series | MATLAB implements SCNGO-BiGRU-Attention multivariate time series prediction

Multidimensional time series | MATLAB implements BiTCN-BiGRU-Attention multivariate time series prediction

Regression prediction | MATLAB implements TCN-BiGRU time convolution bidirectional gated recurrent unit multiple input single output regression prediction

Multidimensional time series | MATLAB implements WOA-CNN-GRU-Attention multi-variable time series prediction (SE attention mechanism)

Multiple regression prediction | Matlab regression prediction based on convolutional neural network-long short-term memory network combined with attention mechanism (CNN-LSTM-Attention), multivariate input model

Time series prediction | MATLAB implements EEMD-GRU, GRU set empirical mode decomposition combined with gated recurrent unit time series prediction comparison

Multidimensional time series | MATLAB implements WOA-CNN-BiLSTM-Attention multi-variable time series prediction (SE attention mechanism)

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