Bayesian neural network for nonlinear model identification
Hello everyone,
I’m interested in using Bayesian neural networks to model a dynamical system, similar to the examples presented here: https://www.mathworks.com/help/ident/nonlinear-model-identification.html.
So far, the only relevant resource I’ve found is this page: https://www.mathworks.com/help/deeplearning/ug/train-bayesian-neural-network.html, which demonstrates how to train a Bayesian neural network to predict the rotation of handwritten digits.
Would the methodology and functions shown in that example be suitable for my case? Specifically, can they be adapted to train a model using time series data—i.e., sequences of input and output over time?
Thank you in advance for your support!
MarcoHello everyone,
I’m interested in using Bayesian neural networks to model a dynamical system, similar to the examples presented here: https://www.mathworks.com/help/ident/nonlinear-model-identification.html.
So far, the only relevant resource I’ve found is this page: https://www.mathworks.com/help/deeplearning/ug/train-bayesian-neural-network.html, which demonstrates how to train a Bayesian neural network to predict the rotation of handwritten digits.
Would the methodology and functions shown in that example be suitable for my case? Specifically, can they be adapted to train a model using time series data—i.e., sequences of input and output over time?
Thank you in advance for your support!
Marco Hello everyone,
I’m interested in using Bayesian neural networks to model a dynamical system, similar to the examples presented here: https://www.mathworks.com/help/ident/nonlinear-model-identification.html.
So far, the only relevant resource I’ve found is this page: https://www.mathworks.com/help/deeplearning/ug/train-bayesian-neural-network.html, which demonstrates how to train a Bayesian neural network to predict the rotation of handwritten digits.
Would the methodology and functions shown in that example be suitable for my case? Specifically, can they be adapted to train a model using time series data—i.e., sequences of input and output over time?
Thank you in advance for your support!
Marco bayes, neural networks, system identification, deep learning, uncertainty quantification MATLAB Answers — New Questions