Training the Feedforward Network
The block diagram of the generalized delta learning rule(GDR).
1. Apply input vector to network
2. ‘Feedforward’ or propagate input pattern to determine all unit outputs
3. Compare unit outputs in output layer with desired pattern response
4. Compute and propagate error measure backward through network
5. Minimize error at each stage through unit weight adjustment.