character recognition using NuralNetwork or PRT toolbox

2 次查看(过去 30 天)
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

采纳的回答

Greg Heath
Greg Heath 2014-6-21
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

更多回答(1 个)

Dr Oluleye Babatunde
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)

类别

Help CenterFile Exchange 中查找有关 Pattern Recognition and Classification 的更多信息

Community Treasure Hunt

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

Start Hunting!

Translated by