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How do I fix NARX neural network performance value?

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Seemant Tiwari
Seemant Tiwari le 31 Mai 2023
Réponse apportée : Yash Sharma le 1 Juil 2024 à 13:25
I am using NARX neural network to forecast wind speed. i am obtaining performance but my performance value changed when i retrained my model. i retrained my model many time but performance value little change. how can i solve this issue?
Thank you

Réponses (1)

Yash Sharma
Yash Sharma le 1 Juil 2024 à 13:25
The performance value of your NARX neural network changes upon retraining due to the following reasons:
  1. Random Initialization: Neural networks typically initialize weights randomly, leading to different starting points for each training run.
  2. Stochastic Training Process: Algorithms like stochastic gradient descent introduce randomness in the training process.
Solutions to Achieve Consistent Performance
  1. Set a Fixed Random Seed: Ensures reproducibility by initializing the random number generator to a fixed state.
  2. Increase Training Epochs: Allows the network more time to converge, reducing variability.
  3. Cross-Validation: Provides a more reliable performance assessment by averaging results over multiple data splits.
  4. Ensemble Methods: Training multiple models and averaging their predictions can stabilize performance.

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