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Evolving Rule-Based Models - A Tool for Design of Flexible Adaptive Systems (Paperback, Softcover reprint of hardcover 1st ed. 2002)
Loot Price: R3,000
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Evolving Rule-Based Models - A Tool for Design of Flexible Adaptive Systems (Paperback, Softcover reprint of hardcover 1st ed. 2002)
Series: Studies in Fuzziness and Soft Computing, 92
Expected to ship within 10 - 15 working days
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The idea about this book has evolved during the process of its
preparation as some of the results have been achieved in parallel
with its writing. One reason for this is that in this area of
research results are very quickly updated. Another is, possibly,
that a strong, unchallenged theoretical basis in this field still
does not fully exist. From other hand, the rate of innovation,
competition and demand from different branches of industry (from
biotech industry to civil and building engineering, from market
forecasting to civil aviation, from robotics to emerging
e-commerce) is increasingly pressing for more customised solutions
based on learning consumers behaviour. A highly interdisciplinary
and rapidly innovating field is forming which focus is the design
of intelligent, self-adapting systems and machines. It is on the
crossroads of control theory, artificial and computational
intelligence, different engineering disciplines borrowing heavily
from the biology and life sciences. It is often called intelligent
control, soft computing or intelligent technology. Some other
branches have appeared recently like intelligent agents (which
migrated from robotics to different engineering fields), data
fusion, knowledge extraction etc., which are inherently related to
this field. The core is the attempts to enhance the abilities of
the classical control theory in order to have more adequate,
flexible, and adaptive models and control algorithms.
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