System designers are faced with a large set of data which has to
be analysed and processed efficiently. Advanced computational
intelligence paradigms present tremendous advantages by offering
capabilities such as learning, generalisation and robustness. These
capabilities help in designing complex systems which are
intelligent and robust.
The book includes a sample of research on the innovative
applications of advanced computational intelligence paradigms. The
characteristics of computational intelligence paradigms such as
learning, generalization based on learned knowledge, knowledge
extraction from imprecise and incomplete data are the extremely
important for the implementation of intelligent machines. The
chapters include architectures of computational intelligence
paradigms, knowledge discovery, pattern classification, clusters,
support vector machines and gene linkage analysis. We believe that
the research on computational intelligence will simulate great
interest among designers and researchers of complex systems. It is
important to use the fusion of various constituents of
computational intelligence to offset the demerits of one paradigm
by the merits of another.
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