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Summary

This problem demonstrates how a simple pattern recognition system can be designed. Note that the training process did not consist of a single call to a training function. Instead, the network was trained several times on various input vectors.

In this case, training a network on different sets of noisy vectors forced the network to learn how to deal with noise, a common problem in the real world.


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