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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
295
Fig.
17.12: Two popular fuzzy inference methods
areas outline the resultant membership functions for premise truths
of 0.7 and 0.3.
Combining Operations
The operations described thus far are almost never used in isolation.
A practical fuzzy-processing system combines them in useful ways.
This section demonstrates a simple combination of operations which
can serve as a basic building block for larger systems.
Let us take a simplified example from chemical manufacturing.
A reaction is taking place in a vessel. There are two exit valves: the
normal outlet and the emergency
relief.
As the reaction progresses,
pressur ...
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Publisher Resources

ISBN: 9780080514338