You are working with the text-only light edition of "H.Lohninger: Teach/Me Data Analysis, Springer-Verlag, Berlin-New York-Tokyo, 1999. ISBN 3-540-14743-8". Click here for further information.
| You are working with the text-only light edition of "H.Lohninger: Teach/Me Data Analysis, Springer-Verlag, Berlin-New York-Tokyo, 1999. ISBN 3-540-14743-8". Click here for further information.
|
Table of Contents  Multivariate Data Modeling Neural Networks Models of Neural Networks Neural Networks - Model Selection |
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| See also: ANN - Introduction, Taxonomy of ANNs |   |
In order to select the appropriate neural network
model, it is necessary to find out whether you are dealing with a
If you want to train the system to respond with a certain predefined
output, the task is supervised. If the network should self-organize, the
target is not predetermined and the task is called an unsupervised task.
Furthermore, you have to know whether your task is a
A neural network performing a classification task puts each input
into one of a given number of classes. For function approximation tasks,
each input is associated with a certain (analog) value.
Last Update: 2006-Jän-17