Train ten numbers and identify new inserted number

1 visualizzazione (ultimi 30 giorni)
Using matlab,neural network first I need to train 0,1,2,3,4,5,6,7,8,9 .Then we think we insert number as 3.The program should have capability to identify this number as 3.This is how need to work my matlab program.Can You give me a sample matlab code for this. Thank you.

Risposta accettata

Greg Heath
Greg Heath il 4 Lug 2014

Più risposte (2)

Shashank Prasanna
Shashank Prasanna il 3 Lug 2014
Your question is not clear. However, there are plenty of examples in the Neural Network Toolbox documentation:
  4 Commenti
Madhu
Madhu il 9 Lug 2014
Modificato: Madhu il 9 Lug 2014
Thank you for your suggestion.In here what is call "usps_all.mat"?
Actually, I hope to do this for identifying printed numbers using neural network techniques (neural network toolbox) and pattern recognitions, not for hand written numbers.So, how can be the matlab code and other differences?
I am very new to matlab. So,It will big help for me.Thank you again.
Madhu
Madhu il 12 Lug 2014
http://www.mathworks.in/help/nnet/gs/classify-patterns-with-a-neural-network.html I go through this, but this is use to identify Breast Cancer.How I change this for identify images of 0,1,2,3,45,6,7,8 and 9? Thank You.

Accedi per commentare.


Image Analyst
Image Analyst il 12 Lug 2014
You say "I hope to do this for identifying printed numbers". Why not just use the tool already built for this: http://www.mathworks.com/help/vision/ref/ocr.html#bt548t1-2_1, which is OCR in the Computer Vision System Toolbox? Why use neural networks when you don't have to?
But then you said you were working on breast cancer images, presumably to find the nodules, not the text in the image. Changing from integers in an array, to images of printed characters, to pictures of breasts is quite a change and I'm not sure why you think that the solution to one of those situations would automatically work for the other two situations. So now I don't really know what you want. Please attach an image.
  5 Commenti

Accedi per commentare.

Categorie

Scopri di più su Get Started with Deep Learning Toolbox in Help Center e File Exchange

Community Treasure Hunt

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

Start Hunting!

Translated by