Hebbian Learning Rule:

• It is unsupervised learning rule
• It works on both binary and continuous activation function.
• It is of single neuron layer type learning rule.

• In hebbian learning weight change will be calculated as follows:

   

$\Delta w=C.O_i.X_j$

• The initial weight vector will be 0.

Example of Hebbian Learning Rule: …