Perceptron Learning Rule
	• Suppose one randomizes initial weights and has a set of desired input, output pairs. • Iterate: – Compute O from inputs – Compute error Err = T – O from correct output T – Adjust weights: Wj ß Wj + a´Ij´Err where a is the learning rate.