how to load 3-phase voltage and current waveform data generated from simulink to workspace so as to use the data for training the neural network for detecting and classification of fault in a long transmission line

 Akzeptierte Antwort

1. Extract I features from each of N examples and form the IxN dimensional input matrix.
2. For each example, assign a column from the 10-dimensional unit matrix eye(10) to indicate the fault type and form the OxN (O=10) dimensional output target matrix.
[ I N ] = size(input)
[ O N ] = size(target)
3. Consult the PATTERNNET help and documentation examples
help patternnet
doc patternnet
4. Search the NEWSGROUP and ANSWERS using the keyword patternnet.
5. Practice on one or more of the MATLAB classification/pattern-recognition data sets
help nndatasets.
Thank you for formally accepting my answer
Greg

Weitere Antworten (0)

Kategorien

Mehr zu Deep Learning Toolbox finden Sie in Hilfe-Center und File Exchange

Gefragt:

am 21 Sep. 2013

Beantwortet:

am 29 Sep. 2013

Community Treasure Hunt

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

Start Hunting!

Translated by