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Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems

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Emerging Intelligent Technologies in Industry (Hardcover, 2011 ed.) Loot Price: R4,411
Discovery Miles 44 110
Emerging Intelligent Technologies in Industry (Hardcover, 2011 ed.): Dominik Ryzko, Piotr Gawrysiak, Henryk Rybinski, Marzena...

Emerging Intelligent Technologies in Industry (Hardcover, 2011 ed.)

Dominik Ryzko, Piotr Gawrysiak, Henryk Rybinski, Marzena Kryszkiewicz

Series: Studies in Computational Intelligence, 369

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Loot Price R4,411 Discovery Miles 44 110 | Repayment Terms: R413 pm x 12*

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Intelligent technologies are the essential factors of innovation, and enable the industry to overcome technological limitations and explore the new frontiers. Therefore it is necessary for scientists and practitioners to cooperate and inspire each other, and use the latest research results in creating new designs and products. The idea of this book came out with the industrial workshop organized at the ISMIS conference in Warsaw, 2011. The book covers several applications of emerging, intelligent technologies in various branches of the industry. The contributions describe modern intelligent tools, algorithms and architectures, which have the potential to solve real problems, experienced by practitioners in various industry sectors. We hope this volume will show new directions for cooperation between science and industry and will facilitate efficient transfer of knowledge in the area of intelligent information systems.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 369
Release date: August 2011
First published: 2011
Authors: Dominik Ryzko • Piotr Gawrysiak • Henryk Rybinski • Marzena Kryszkiewicz
Dimensions: 235 x 155 x 23mm (L x W x T)
Format: Hardcover
Pages: 344
Edition: 2011 ed.
ISBN-13: 978-3-642-22731-8
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
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LSN: 3-642-22731-7
Barcode: 9783642227318

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