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In the back propagation network I'm using there is one input layer, one
hidden layer and one output layer. The input's are called the
The value of lambda is fixed at 5.0
The error function is given by the following equation.
where
The last two equations are used to update the weights.'s, the
hidden nodes are called
's and the output as
.
The weights interconnecting between the input and the hidden
nodes are called
and the weights interconnecting between the hidden
and the output nodes are called
.
is the activation of the output.
is the activation of the hidden node.
is the target and
is the output.
The weights are updated by the following way.
is a small correction factor being used whose value is fixed at 0.1.