photo

Marco Pizzoli


Last seen: 18 jours il y a |  Actif depuis 2020

Followers: 0   Following: 0

Statistiques

  • Thankful Level 2
  • First Review
  • Revival Level 1
  • First Answer

Afficher les badges

Feeds

Afficher par

Question


Multiple sequences for Neural State-Space Model training and different sampling times
Hi all, I have some doubts about Neural State-Space Models. 1) I would like to train such a model using different observations...

environ un mois il y a | 1 réponse | 0

1

réponse

Question


How to reset the state of a LSTM neural network to its initial state in Simulink?
Hi everyone, I have trained an LSTM neural network to function as a Reduced Order Model (ROM) within a Simulink model of a coup...

environ 2 mois il y a | 1 réponse | 0

1

réponse

Question


Sample time and stop time in the generated code of Simulink model
Hi, I want to generate a C code of a Simulink model to be integrated later with external code. I have followed this MATLAB r...

7 mois il y a | 1 réponse | 1

1

réponse

Question


How to create a C/C++ routine from a Simulink block with the definition of output, input, and parameters in the header?
Hello everyone, The bottom line is that I need to create a Fortran/C/C++ routine from a Simulink block with the definition of...

8 mois il y a | 1 réponse | 4

0

réponse

Question


How to prepare time series data for LSTM training?
Hello everyone, I want to train an LSTM network model on the basis of time series (with Deep Learning Toolbox©). The process to...

9 mois il y a | 1 réponse | 2

1

réponse

Question


How to train a neural-network-based NARX model with multiple time series, each corresponding to a different value of a control parameter (to be included as additional input)
Hello, everyone I would like to train a NARX model based on a neural network using different time series. Specifically, eac...

environ 2 ans il y a | 1 réponse | 0

1

réponse

Question


Is it possible to divide data from a very long time series into smaller pieces so that an LSTM network can be trained more easily?
Hi all, I decided to use LSTM neural networks to solve a problem of identification of a nonlinear system. In particular, the ...

plus de 2 ans il y a | 1 réponse | 0

1

réponse

Question


Import a Neural Network trained in PyTorch in Simulink
Hi everyone, I would like to know if it is possible to import a neural network trained in PyTorch, into a Simulink model. Spec...

plus de 2 ans il y a | 1 réponse | 0

1

réponse

Question


Customization of performance function for Neural Network Time-Series Prediction and Modeling in which the target is normalized by external time series values
Dear all, We are struggling to figure out if it is possible to normalize the target for the performance function involving an...

plus de 2 ans il y a | 1 réponse | 0

1

réponse

Question


Use LSTM Network for Nonlinear System Identification
I want to identify a nonlinear system and have the time histories of the input and output data available. I would like to expl...

presque 3 ans il y a | 1 réponse | 0

0

réponse

Question


How can i obtain a Narx block in Simulink independent from the sample time of the identified neural network?
Hi everyone, I've trained a NARX neural network with an input\output timeseries data sampled at dt = 0.00125. Then, i've conve...

presque 3 ans il y a | 1 réponse | 0

1

réponse

Question


Retraining nlarx using init()
I have identified a Neural Network by means of nlarx function. I would like to retrain this network starting from the weights a...

presque 4 ans il y a | 1 réponse | 0

0

réponse

Réponse apportée
Why is my simulation getting worse after i use gensim to create an simulink model of my neural network?
I have the same problem

environ 4 ans il y a | 0