A good tutorial of Solve Partial Differential Equations Using Deep Learning (physics informed neural networks)

105 views (last 30 days)
Hello, instead of Python, I want to learn physics informed neural networks in MATLAB. I am using R2020a
Like there is no function called initializeHe, initializezeros, etc
I found this tutorial, but I just cannot follow it. What I suppoesed is to have a complete code, then I can make breakpoints, etc to learn it. However this one too many jumps, just don't know where I should look.
Can anyone help me?

Answers (3)

David Willingham
David Willingham on 3 Mar 2022
What version of MATLAB are you using? There is a function called arraydatastore.
Did you try opening the full script in MATLAB and running from there?
>> openExample('nnet/TrainPhysicsInformedNeuralNetworkWithDLTExample')
  4 Comments

Sign in to comment.


SEYED JAMALEDDIN MOSTAFAVI YAZDI
Edited: SEYED JAMALEDDIN MOSTAFAVI YAZDI on 28 Jun 2022
I had same issue. I resolved it by installing the deep learning toolbox of MATLAB.
https://www.mathworks.com/products/deep-learning.html

Akam Aboubakri
Akam Aboubakri on 11 Aug 2022
I had the same problem. I solved it with adding the following functions:
function parameter = initializeHe(sz,numIn,className)
arguments
sz
numIn
className = 'single'
end
parameter = sqrt(2/numIn) * randn(sz,className);
parameter = dlarray(parameter);
end
function parameter = initializeZeros(sz,className)
arguments
sz
className = 'single'
end
parameter = zeros(sz,className);
parameter = dlarray(parameter);
end

Categories

Find more on Sequence and Numeric Feature Data Workflows 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!

Translated by