Perceptron training rule

$$w_i \leftarrow w_i + \Delta w_i$$

where

$$\Delta w_{i} = \eta (t - o) x_{i}$$

Where: $t=c(\vec{x})$ is target value $o$ is perceptron output $\eta$ is small constant (e.g., .1) called learning rate