Given a two-input neuron with the following weight matrix and
input vector: w = [3 -2] and p...
Given a two-input neuron with the following weight matrix and
input vector: w = [3 -2] and p = [-7 7]t
, we would like to have an output of 0.5. do
you suppose that there is a combination of bias and transfer function that might allow
this?
(a) is there a transfer function from table 2.1 that will do the job if the bias is zero?
(b) is there a bias that will do the job if the linear transfer function is used? if yes,
what is it?
(c) is there a bias that will do the job if a log-sigmoid transfer function is used?
again, if yes, what is it?
(d) is there a bias that will do the job if a symmetrical hard limit transfer function is
used? again, if yes, what is it?
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