LSTM identification and modeling
12 views (last 30 days)
Show older comments
Jesus Mª Juarez Ferreras
on 23 Sep 2024
Commented: Jesus Mª Juarez Ferreras
on 5 Nov 2024 at 10:48
Hello, I have a plant identified in LSTM. I have created normalized datasets, made the network architecture, (numHiddenUnits, numHiddenUnits, layers, maxEpochs, miniBatchSize, options...) Now, based on the weights of the matrices W, R and b of the trained model, I want to make the mathematical model of this plant. State space or its transfer function(s). How would this be done?
Thank you.
Hola,
tengo una planta identificada en LSTM. He creado dataset normalizados, realizado la arquitectura de la red, (numHiddenUnits, numHiddenUnits, layers,maxEpochs, miniBatchSize, options...)
Ahora, a partir de los pesos de las matrices W, R y b del modelo entrenado quiero hacer el modelo matemático de esta planta. Espacio de estados o su(s) funcione(s) de transferencia. ¿Cómo se haría esto?
Gracias.
0 Comments
Accepted Answer
praguna manvi
on 30 Sep 2024
I understand that you are attempting to estimate a state-space model from a trained LSTM model. This task can be challenging for direct translation since LSTMs are complex, inherently nonlinear, and dynamic. They typically do not conform to simple empirical equations that represent the learned relationships.
However, it is possible to capture the behavior of the LSTM model and estimate an approximate “ssm” model using the “estimate” function, as detailed in this documentation:
Hope this helps!
2 Comments
More Answers (1)
See Also
Categories
Find more on Matrix Computations in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!