It is meant to minimise the mean square error of all the output nodes.
Weight vector resides between the input nodes and output nodes.
The largest depth of an output node is the depth of the tree.
The output nodes of the tree are called leaves.
In a computation tree each output node is labeled Yes or No.
Figure 3 indicates the output node, but not the choice of output variable.
The network winds up associating output nodes with groups or patterns in the input data set.
Is a given number n a member of the output node.
The output drive of a gate for a given input is equal to the drive at its output node.
Figure 6 indicates the output node, but does not indicate the choice of output variable.
