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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++
Fuzzy Data
and
Processing
319
group's triangle. This approach can more equitably distribute the
variable's information across network inputs.
Examples of Neural Network Fuzzy Postprocessing
A neural network can be trained to produce results directly in a form
that is the final goal. But it is frequently the case that it is better to
train the network to produce intermediate, more detailed results that
are then processed to yield final solutions. There Eire two advantages
to this approach. First, it may be easier to train the network to learn
the intermediate variables than to learn the final results. Second, it
provides long-term versatility ...
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Publisher Resources

ISBN: 9780080514338