I have questions about spss neural network,
particularly in the output
of MLP.
(1) Both input and hidden layers have term BIAS. What
does it mean?
Is that referred as the bias in prediction?
(2) Suppose the synaptic weights of the X variable in
the input layer
through the hiden layer to one of the categories(say,
j category) of Y
in the output layer are all positive (>0). Does it
mean that X is
positively associated with the j category of Y?
Thanks.
John
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