Learning:

• Learning is a relatively permanent change in behavior brought about by experience
• Learning in a network is a process of forcing a network to yeild particular response to a specific input.

• There are mainly two types of learning:

1. Supervised learning
2. Unsupervised learning

Different learning rules:

1. Perceptron learning rule
2. Hebbian learning rule
3. Delta learning rule
4. Windrow hoff learning rule
5. Correlation learning rule
6. Winner take all learning rule
7. Outstar learning rule