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Assignment 5 Use
MATLAB NEURAL NETWORKS TOOLBOX or the
Neunet (Desire) system to develop and learn patterns using Competitive networks. The patterns
to be learned are the 5 grid of alphabetic characters. (for an example seepage of your TEXT)
1. Train the competitive network to learn the patterns using a conscience (crit=0).
2. Train the competitive network to learn the patterns without using a conscience
(crit<0).
3.
Optionally, train the competitive network to learn the patterns using pseudo-Art competition (crit>0).
4. Optionally, train a Back-Propagation Network to learn the patterns. (you would have to copy the patterns into one of the Back-Propagation programs)
Questions 1. Can the conscience-based competitive network learn
the patterns correctly If so, how many training
epochs are required If not, why not
2. Can the Basic competitive network learn the patterns correctly If so, how many training epochs are required If not, why not
3. What is the effect of the learning rate (Lrate) on the speed of learning What is the effect of the Decay parameter
on the learning speed 4. What is the effect of using large initial weights on the learning process
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