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Wavenet-RNN Hybrid
Wavenet-RNN Hybrid combines the strengths of Wavenet (dilated causal convolutions) and RNNs (sequential modeling) for advanced time series forecasting, capturing both local and long-range dependencies.
Key Features
- Captures both local and global patterns
- Combines convolutional and recurrent architectures
- Suitable for complex, long time series
Example Use
# Pseudocode
wavenet_output = Wavenet(input_sequence)
rnn_output = RNN(wavenet_output)
final_prediction = Dense(rnn_output)