Chapter 2 Introduction to Neural network
Chapter 2 Introduction to Neural network
Chapter 2 Introduction to Neural network
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2.5 Learning<br />
Depending on the task <strong>to</strong> solve different learning paradigms (strategies)<br />
are used.<br />
Learning<br />
Unsupervised<br />
Supervised<br />
Reinforced learning<br />
Corrective learning<br />
Supervised - during learning we tell the ANN what we want as<br />
output (desired output).<br />
corrective learning - desired signals are realvalued<br />
reinforced learning - desired signals are true/false<br />
Unsupervised - Only input signals are available <strong>to</strong> the ANN during<br />
learning (e.g. signal separation)<br />
One drawback with learning system are that it is <strong>to</strong>tally lost when<br />
facing a scenario which it has never faced during training.<br />
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