How to fix this error with Neural Network Classifier?

2 次查看（过去 30 天）
Sa rah
Sa rah 2015-12-28
评论： Sa rah 2015-12-30
I used these code lines to built a Neural Network classifier in a face recognition project:
knowing that: the size of the images = 60*80, number of classes=15, 90 images for train set and 75 for test set are used.
net = patternnet(10);
[net,tr] = train(net,feaVectors,labels); % feaVectors=4800*90 and labels=15*90
testY = net(mat_test); % mat_test=4800*75
[c,cm] = confusion(labels_test,testY);
but I have this error:
Out of memory. Type HELP MEMORY for your options.
Error in
[net,tr] = train(net,feaVectors,labels);
Can someone help me to solve this please?

请先登录，再回答此问题。

采纳的回答

Walter Roberson
Walter Roberson 2015-12-29
Install more RAM. Use a 64 bit operating system and 64 bit MATLAB.

更多回答（1 个）

Greg Heath
Greg Heath 2015-12-30
You need to find an algorithm for face recognition feature extraction to drastically reduce the size of the 4800-dim inputs.
Hope this helps.
Thank you for formally accepting my answer
Greg
  1 个评论
Sa rah
Sa rah 2015-12-30
ok, thank you for the answer, I'll try to find a feature extraction algorithm. Yet, when I reduce the dimensions of the feature vectors by changing the image size, I don't get a satisfying result, the true recognition rate is around 50% or less, and that's too low. I don't get why because I think the implementation is correct !! In fact, I use the same inputs with SVM and I get very satisfying results. can you help me in this ?

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 Sequence and Numeric Feature Data Workflows 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by