Hybrid Computational Intelligence: Challenges and Utilities is a
comprehensive resource that begins with the basics and main
components of computational intelligence. It brings together many
different aspects of the current research on HCI technologies, such
as neural networks, support vector machines, fuzzy logic and
evolutionary computation, while also covering a wide range of
applications and implementation issues, from pattern recognition
and system modeling, to intelligent control problems and biomedical
applications. The book also explores the most widely used
applications of hybrid computation as well as the history of their
development. Each individual methodology provides hybrid systems
with complementary reasoning and searching methods which allow the
use of domain knowledge and empirical data to solve complex
problems.
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