character recognition using NuralNetwork or PRT toolbox
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
mamata
el 20 de Jun. de 2014
Respondida: Dr Oluleye Babatunde
el 8 de Jul. de 2014
I am interested in character recognition. please suggest which approach should I follow:
1 patternnet of Neural Network Toolbox 2 feedforwardnet of Neural Network Toolbox 3 PRT toolbox
0 comentarios
Respuesta aceptada
Greg Heath
el 21 de Jun. de 2014
patternnet for classification and pattern-recognition
fitnet for regression and curve-fitting
Both call feedforwardnet which NEVER has to be explicitly called.
Search the NEWSGROUP and ANSWERS for relevant posts on character recognition.
Hope this helps.
Thank you for formally accepting my answer
Greg
0 comentarios
Más respuestas (1)
Dr Oluleye Babatunde
el 8 de Jul. de 2014
Both are good. You must identify the classinformation and the actual features set in the dataset.
You will need these infom to train the network
i.e net = train (net, features, classinfo)
0 comentarios
Ver también
Categorías
Más información sobre Pattern Recognition and Classification en Help Center y File Exchange.
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!