How to know the output in Neural Network Pattern Recognition?
1 view (last 30 days)
Show older comments
hello guys! i'm a beginner in using matlab neural network pattern recognition and I can't understand the output part. How could I show the intended output after training? For example in the load example data about the type of glass, how can I say if the sample is a window glass or not? I want to show something like this after the data has been recognize if it is indeed a window glass, "The sample is a window glass". What should I do?
I hope someone can answer me or atleast give some idea. Thanks.
4 Comments
Sivakumaran Chandrasekaran
on 13 Jan 2016
what value you got when you use the command sim... use that value as threshold
Accepted Answer
Greg Heath
on 13 Jan 2016
For classification/pattern-recognition into c classes, the columns of the target matrix should be columns of the {0 1 } unit matrix eye(c).
The transformation between classindices and target matrix are obtained via the functions ind2vec and vec2ind.
trueindices = [ 5 3 1 2 4 ]
target = full(ind2vec(trueindices))
output = target + 0.15*randn(5)
predindices = vec2ind(output)
Hope this helps.
Thank you for formally accepting my answer
Greg
More Answers (0)
See Also
Categories
Find more on Define Shallow Neural Network Architectures in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!