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Practical Neural Network Recipies in C++
book

Practical Neural Network Recipies in C++

by Masters
June 2014
Intermediate to advanced content levelIntermediate to advanced
493 pages
20h 30m
English
Morgan Kaufmann
Content preview from Practical Neural Network Recipies in C++
Probabilistic
Neural Networks
221
When to Use a Probabilistic Neural Network
This model is fairly specialized, not having the wide applicability of
the multiple-layer feedforward network. However, in some situations,
it is ideal.
First, this model is intrinsically a classifier. Modifications exist
that allow it to interpolate between decisions, making it a more
universal function approximator, but these tend to be less than
elegant. Also, as described above, we can force it into an auto-
associative mode. However, this is often inelegant. Thus, in general,
we should primarily consider this model for classification problems.
The principal advantag ...
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Publisher Resources

ISBN: 9780080514338