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Normal Statistical Distribution General Characteristics It is Bell-shaped or forms a Mound curve. The curve is Symmetrical with respect to the Mean. The total area under the curve is equal to 1. Specific Characteristics Key Measures: Mean,
Continue Reading...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 …
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 | 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 | 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 | 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
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