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Marco Pizzoli


Last seen: 1 jour ago Active since 2020

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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...

6 jours ago | 0 answers | 0

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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 ...

environ 2 mois ago | 0 answers | 0

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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...

6 mois ago | 1 answer | 0

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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...

6 mois ago | 1 answer | 0

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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...

7 mois ago | 0 answers | 0

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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...

8 mois ago | 1 answer | 0

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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...

plus d'un an ago | 0 answers | 0

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