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Published in:
2013 | OriginalPaper | Chapter
Learning from Examples
Author : Maciej Krawczak
Published in: Multilayer Neural Networks
Publisher: Springer International Publishing
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The process of learning from examples (or supervised learning) of multilayer neural networks can be considered when a set {
input
p
,
output
p
} ,
p
= 1,2,...,
P
, is available. The aim is to configure a neural network in such a way as to generate the definite output if the respective input feeds the network.