Hello,
Im Mira
Im working on artificial neural networks (specifically SOM) in the context of data fault detection and diagnosis.
I only consider two classes in my application : faulty data and correct data.
My data are temperature values during a whole day.
I built my network upon 64 neurons, the training is absolutely perfect!
the problem resides in classifying these 64 neurons into two classes.
I cant find a criterion to do that.
Does anyone have an idea about this kind of neural networks application??
I'll be thankful for any help.
Regards.
Theme by Danetsoft and Danang Probo Sayekti inspired by Maksimer