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