Hello everyone,
I want to use neural network and ANFIS to predict one output y from 10 inputs. I have already decided to model my data according to a couple papers I read. They used only a few input variables for the modeling step. In fact, they have reduced input numbers choosing just the very relevant ones using the gamma test. I tried to learn the method from an example shared in a published paper. However, i don't understand how did they calculate the Euclidean distance table (see the attached figure)? and if there is another example I will be grateful to share it with me.
The example is shared in the attached figure.
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