Computational intelligence paradigms have attracted the growing interest
of researchers, scientists, engineers and application engineers in a
number of everyday applications. These applications are not limited to
any particular field and include engineering, business, banking and
consumer electronics. Computational intelligence paradigms include
artificial intelligence, artificial neural networks, fuzzy systems and
evolutionary computing. Artificial neural networks can mimic the
biological information processing mechanism in a very limited sense.
Evolutionary computing algorithms are used for optimisation
applications, and fuzzy logic provides a basis for representing
uncertain and imprecise knowledge.
Practical Applications of Computational Intelligence Techniques
contains twelve chapters providing actual application of these
techniques in the real world. Such examples include, but are not limited
to, intelligent household appliances, aerial spray models, industrial
applications and medical diagnostics and practice. This book will be
useful to researchers, practicing engineers/scientists and students, who
are interested in developing practical applications in a computational
intelligence environment.