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- begin with random weights, modify them, repeat until the
perceptron classifies all training examples correctly
- perceptron training rule:
Бе, where 
Бе -
is the target output, 
is the output generated by the
perceptron, and 
is the learning rateБе which moderates the
degree to which weights are changed at each step, usually set to a
small value (0.1)
Patricia Jean Riddle
Wed Jun 23 13:06:34 NZST 1999