Artificial Neural Networks Learning Rules | Artificial Neural Networks
What are Learning Rules?
Learning rule is a mathematical logic which helps an Artificial Neural Network (ANN) to learn from the existing conditions and improve its performance and learning time.
What are the different types of Artificial Neural Networks (ANN)?
- Perceptron Learning Rule
- Hebbian Learning Rule
- Correlation Learning Rule
- Delta Learning Rule
- Out-Star Learning Rule
- Competitive Learning Rule
All these Artificial Neural Networks Learning Rules are discussed in detail here on thetqweb. Click on the hyperlinks on the listed Learning Rules to read and understand them better.
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Artificial Neural Networks Learning Rules
Artificial Neural Networks | thetqweb