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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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Automatic Learning Techniques in Power Systems (Paperback, Softcover reprint of the original 1st ed. 1998)
Loot Price: R4,474
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Automatic Learning Techniques in Power Systems (Paperback, Softcover reprint of the original 1st ed. 1998)
Series: Power Electronics and Power Systems
Expected to ship within 10 - 15 working days
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Automatic learning is a complex, multidisciplinary field of
research and development, involving theoretical and applied methods
from statistics, computer science, artificial intelligence, biology
and psychology. Its applications to engineering problems, such as
those encountered in electrical power systems, are therefore
challenging, while extremely promising. More and more data have
become available, collected from the field by systematic archiving,
or generated through computer-based simulation. To handle this
explosion of data, automatic learning can be used to provide
systematic approaches, without which the increasing data amounts
and computer power would be of little use. Automatic Learning
Techniques in Power Systems is dedicated to the practical
application of automatic learning to power systems. Power systems
to which automatic learning can be applied are screened and the
complementary aspects of automatic learning, with respect to
analytical methods and numerical simulation, are investigated. This
book presents a representative subset of automatic learning methods
- basic and more sophisticated ones - available from statistics
(both classical and modern), and from artificial intelligence (both
hard and soft computing). The text also discusses appropriate
methodologies for combining these methods to make the best use of
available data in the context of real-life problems. Automatic
Learning Techniques in Power Systems is a useful reference source
for professionals and researchers developing automatic learning
systems in the electrical power field.
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