Competitive Learning Rule
Competitive Learning Rule |
Also referred to as Winner-takes all learning rule, it is an unsupervised algorithm learning rule. This rule uses the competitive network …
Category: Artificial Neural Networks
OutStar Learning Rule
OutStar Learning Rule | Artificial Neural Networks Foundation : Also referred to as Grossberg learning rule, it is a supervised algorithm learning rule, introduced by Grossberg. Operation : In this rule, all neurons are arranged in organized layers.
Continue Reading...Delta Learning Rule
Delta Learning Rule | Artificial Neural Networks Foundation : Also referred to as Widrow-Hoff learning rule, it is a supervised algorithm learning rule and a special case of backpropagation, introduced by Bernard Widrow and Marcian Hoff. Operation :
Continue Reading...Correlation Learning Rule
Correlation Learning Rule | Artificial Neural Networks Foundation : It is a supervised algorithm learning rule. Operation : This rule follows a principle similar to the hebbian learning rule, where; At the start, values of all weights connecting neurons
Continue Reading...Hebbian Learning Rule
Hebbian Learning Rule | Artificial Neural Networks Foundation : Also referred to as Hebb learning rule, it is an unsupervised algorithm learning rule, introduced by Donald Hebb. Operation : At the start, values of all weights connecting neurons
Continue Reading...Perceptron Learning Rule
Perceptron Learning Rule |
It is a supervised algorithm learning rule, introduced by Frank Rosenblatt. In the rule, the artificial neural network starts its learning by assigning a random value to each weight …