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Books > Science & Mathematics > Mathematics > Mathematical foundations
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Neural Networks and Fuzzy Systems - Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 1997)
Loot Price: R2,649
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Neural Networks and Fuzzy Systems - Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 1997)
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Neural Networks and Fuzzy Systems: Theory and Applications
discusses theories that have proven useful in applying neural
networks and fuzzy systems to real world problems. The book
includes performance comparison of neural networks and fuzzy
systems using data gathered from real systems. Topics covered
include the Hopfield network for combinatorial optimization
problems, multilayered neural networks for pattern classification
and function approximation, fuzzy systems that have the same
functions as multilayered networks, and composite systems that have
been successfully applied to real world problems. The author also
includes representative neural network models such as the Kohonen
network and radial basis function network. New fuzzy systems with
learning capabilities are also covered. The advantages and
disadvantages of neural networks and fuzzy systems are examined.
The performance of these two systems in license plate recognition,
a water purification plant, blood cell classification, and other
real world problems is compared.
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