- Briefly compare neurons used in a) perceptron-type networks and b) RBF-type networks.
[Hint: concentrate on what they compare, how tot is calculated, and how neuron output is determined]
- Consider the modified Hebbian learning rule
wijnew = wijold (1)+hxio j
and assume the following values xi = oj = 1, learning rate = 1, forgetting factor = 0.1, and initial weight wijold =0.
- Compare standard ( = 0) and modified Hebbian learning by plotting weights over 30 subsequent learning steps (i.e. plot wijnew as a function of time) using the parameters provided.
- Determine maximum value of weight w that can be obtained by modified Hebbian learning using the parameters provided [Hint: in the limit case, the values of wijnew and wijold would be identical].

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