Perceptron Learning Algorithms

• determine a weight vector that causes the perceptron to produce the correct output for each of the given training examples
• several algorithms are known to solve this problem: the perceptron rule, delta rule
• guaranteed to converge to somewhat different acceptable hypotheses under somewhat different conditions
• these are the basis for learning networks of many units - ANNs