neural network to match image
$begingroup$
I am pretty new to neural networks and I would appreciate some guidance... maybe books or articles on the following topic:
I am an airfoil designer. At fixed flow conditions, the pressure on the airfoil wall will be different depending on its geometry, e.g. thickness. For different geometries, I have a large data set of pressure distributions along the airfoil (they can be treated as images). My idea is to use those "pictures" as training data of a neural network (input), in which the output will be the geometry of airfoil. Then, I would like to target a pressure on the wall (picture) and get a nice airfoil design...
Please let me know if you are aware of similar studies and if there is any book to start with!
Thanks :)
python neural-network
asked yesterday
daxterssdaxterss
111
New contributor
daxterss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I am pretty new to neural networks and I would appreciate some guidance... maybe books or articles on the following topic:
I am an airfoil designer. At fixed flow conditions, the pressure on the airfoil wall will be different depending on its geometry, e.g. thickness. For different geometries, I have a large data set of pressure distributions along the airfoil (they can be treated as images). My idea is to use those "pictures" as training data of a neural network (input), in which the output will be the geometry of airfoil. Then, I would like to target a pressure on the wall (picture) and get a nice airfoil design...
Please let me know if you are aware of similar studies and if there is any book to start with!
Thanks :)
python neural-network
asked yesterday
daxterssdaxterss
111
New contributor
daxterss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
1
$begingroup$
how are the different geometries represented? also as images?
$endgroup$
– oW_♦
yesterday
add a comment |
$begingroup$
I am pretty new to neural networks and I would appreciate some guidance... maybe books or articles on the following topic:
I am an airfoil designer. At fixed flow conditions, the pressure on the airfoil wall will be different depending on its geometry, e.g. thickness. For different geometries, I have a large data set of pressure distributions along the airfoil (they can be treated as images). My idea is to use those "pictures" as training data of a neural network (input), in which the output will be the geometry of airfoil. Then, I would like to target a pressure on the wall (picture) and get a nice airfoil design...
Please let me know if you are aware of similar studies and if there is any book to start with!
Thanks :)
python neural-network
asked yesterday
daxterssdaxterss
111
New contributor
daxterss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am pretty new to neural networks and I would appreciate some guidance... maybe books or articles on the following topic:
I am an airfoil designer. At fixed flow conditions, the pressure on the airfoil wall will be different depending on its geometry, e.g. thickness. For different geometries, I have a large data set of pressure distributions along the airfoil (they can be treated as images). My idea is to use those "pictures" as training data of a neural network (input), in which the output will be the geometry of airfoil. Then, I would like to target a pressure on the wall (picture) and get a nice airfoil design...
Please let me know if you are aware of similar studies and if there is any book to start with!
Thanks :)
python neural-network
python neural-network
asked yesterday
daxterssdaxterss
111
New contributor
daxterss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
daxterssdaxterss
111
New contributor
daxterss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
daxterssdaxterss
111
New contributor
daxterss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
daxterssdaxterss
111
asked yesterday
daxterssdaxterss
111
111
New contributor
daxterss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
daxterss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
daxterss is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
1
$begingroup$
how are the different geometries represented? also as images?
$endgroup$
– oW_♦
yesterday
add a comment |
1
$begingroup$
how are the different geometries represented? also as images?
$endgroup$
– oW_♦
yesterday
1
1
$begingroup$
how are the different geometries represented? also as images?
$endgroup$
– oW_♦
yesterday
$begingroup$
how are the different geometries represented? also as images?
$endgroup$
– oW_♦
yesterday
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
If I understood correctly you have images similar to a heat-map like Fig 6:
Well, non-natural images related applications can benefit from DNN as much as natural images, but you are unlikely to be able to use any transfer learning technique.
If you have this heat-map-like images (please consider posting some samples) you can try a simple CNN structure. Since you are a starter you could benefit from using this modeler called Ennui and outputting the source-code in Python or Julia, just remember to take a quick class on CNN to understand your options. For a complete course see Stanford's YouTube playlist on CNNs.
Some papers related to it:
- Inverse Design of Airfoil Using a Deep Convolutional Neural Network
- Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient
- Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows
You can inspire your models architecture by theirs
If you want a book to cover NN for deep learning try Goodfellow's.
answered yesterday
Pedro Henrique MonfortePedro Henrique Monforte
424112
$endgroup$
add a comment |
Your Answer
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "557"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
daxterss is a new contributor. Be nice, and check out our Code of Conduct.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f49218%2fneural-network-to-match-image%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
If I understood correctly you have images similar to a heat-map like Fig 6:
Well, non-natural images related applications can benefit from DNN as much as natural images, but you are unlikely to be able to use any transfer learning technique.
If you have this heat-map-like images (please consider posting some samples) you can try a simple CNN structure. Since you are a starter you could benefit from using this modeler called Ennui and outputting the source-code in Python or Julia, just remember to take a quick class on CNN to understand your options. For a complete course see Stanford's YouTube playlist on CNNs.
Some papers related to it:
- Inverse Design of Airfoil Using a Deep Convolutional Neural Network
- Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient
- Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows
You can inspire your models architecture by theirs
If you want a book to cover NN for deep learning try Goodfellow's.
answered yesterday
Pedro Henrique MonfortePedro Henrique Monforte
424112
$endgroup$
add a comment |
$begingroup$
If I understood correctly you have images similar to a heat-map like Fig 6:
Well, non-natural images related applications can benefit from DNN as much as natural images, but you are unlikely to be able to use any transfer learning technique.
If you have this heat-map-like images (please consider posting some samples) you can try a simple CNN structure. Since you are a starter you could benefit from using this modeler called Ennui and outputting the source-code in Python or Julia, just remember to take a quick class on CNN to understand your options. For a complete course see Stanford's YouTube playlist on CNNs.
Some papers related to it:
- Inverse Design of Airfoil Using a Deep Convolutional Neural Network
- Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient
- Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows
You can inspire your models architecture by theirs
If you want a book to cover NN for deep learning try Goodfellow's.
answered yesterday
Pedro Henrique MonfortePedro Henrique Monforte
424112
$endgroup$
add a comment |
$begingroup$
If I understood correctly you have images similar to a heat-map like Fig 6:
Well, non-natural images related applications can benefit from DNN as much as natural images, but you are unlikely to be able to use any transfer learning technique.
If you have this heat-map-like images (please consider posting some samples) you can try a simple CNN structure. Since you are a starter you could benefit from using this modeler called Ennui and outputting the source-code in Python or Julia, just remember to take a quick class on CNN to understand your options. For a complete course see Stanford's YouTube playlist on CNNs.
Some papers related to it:
- Inverse Design of Airfoil Using a Deep Convolutional Neural Network
- Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient
- Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows
You can inspire your models architecture by theirs
If you want a book to cover NN for deep learning try Goodfellow's.
answered yesterday
Pedro Henrique MonfortePedro Henrique Monforte
424112
$endgroup$
If I understood correctly you have images similar to a heat-map like Fig 6:
Well, non-natural images related applications can benefit from DNN as much as natural images, but you are unlikely to be able to use any transfer learning technique.
If you have this heat-map-like images (please consider posting some samples) you can try a simple CNN structure. Since you are a starter you could benefit from using this modeler called Ennui and outputting the source-code in Python or Julia, just remember to take a quick class on CNN to understand your options. For a complete course see Stanford's YouTube playlist on CNNs.
Some papers related to it:
- Inverse Design of Airfoil Using a Deep Convolutional Neural Network
- Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient
- Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows
You can inspire your models architecture by theirs
If you want a book to cover NN for deep learning try Goodfellow's.
answered yesterday
Pedro Henrique MonfortePedro Henrique Monforte
424112
answered yesterday
Pedro Henrique MonfortePedro Henrique Monforte
424112
answered yesterday
Pedro Henrique MonfortePedro Henrique Monforte
424112
answered yesterday
Pedro Henrique MonfortePedro Henrique Monforte
424112
424112
add a comment |
add a comment |
daxterss is a new contributor. Be nice, and check out our Code of Conduct.
daxterss is a new contributor. Be nice, and check out our Code of Conduct.
daxterss is a new contributor. Be nice, and check out our Code of Conduct.
daxterss is a new contributor. Be nice, and check out our Code of Conduct.
Thanks for contributing an answer to Data Science Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f49218%2fneural-network-to-match-image%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
1
$begingroup$
how are the different geometries represented? also as images?
$endgroup$
– oW_♦
yesterday