
285Model Development and Interpretation
The output from the j
th
hidden node is:
σσ
=
net
The output from the network is given by:
y
jj
j
N
=
∑
σα
1
7.3.6 Support Vector Machines
SVM are useful tools for performing data classication, and have been successfully used in
various applications such as face identication, medical diagnosis, text classication, and
pattern recognition. SVM constructs an N-dimensional hyperplane that optimally sepa-
rates the data set into two categories. The purpose of SVM modeling is to nd the optimal
hyperplane that separates clusters of vector in such a way that cases with one category
of the dependent variable ...