how to implement neural network for eeg motor imagery classification?

1 次查看(过去 30 天)
I extracted a 140x16 feature table with each line representing the feature vector of one experiment.Also i have the class labels of the 140 experiments.My intention is to use a neural network to classify my experiments by using half or a percentage of them for training the network and the rest for classification.Can anyone guide me?

采纳的回答

Greg Heath
Greg Heath 2016-4-3
If you have c classes, the target columns should be columns of the c-dimension unit matrix eye(c).
[ I N ] = size(input) % [ 16 140 ]
[ c N ] = size(target) % [c 140 ]
For classification tutorials and examples search BOTH the NEWSREADER and ANSWERS with
greg patternnet
For documentation and associated unsatisfactory examples:
help patternnet
doc patternnet
Hope this helps.
Thank you for formally accepting my answer
Greg

更多回答(0 个)

社区

更多回答在  Power Electronics Control

类别

Help CenterFile Exchange 中查找有关 EEG/MEG/ECoG 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