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Applying computational intelligence ...

Kordon, Arthur K.

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Applying computational intelligence : = how to create value /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Applying computational intelligence :/ Arthur K. Kordon.
Reminder of title:	how to create value /
Author:	Kordon, Arthur K.
Published:	Heidelberg ;Springer, : c2010.,
Description:	xxii, 459 p. :ill. ;24 cm.
Notes:	Includes glossary.
Subject:	Business - Data processing. -
ISBN:	9783540699101

Applying computational intelligence : = how to create value /
Kordon, Arthur K.

Applying computational intelligence :how to create value /Arthur K. Kordon. - Heidelberg ;Springer,c2010. - xxii, 459 p. :ill. ;24 cm.

Includes glossary.

Includes bibliographical references and index.

The flow of academic ideas in the area of computational intelligence is impacting industrial practice at considerable speed. Practitioners face the challenge of tracking, understanding and applying the latest techniques, which often prove their value even before the underlying theories are fully understood. This book offers realistic guidelines on creating value from the application of computational intelligence methods. In Part I, the author offers simple explanations of the key computational intelligence technologies: fuzzy logic, neural networks, support vector machines, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he defines the typical business environment and analyzes the competitive advantages these techniques offer. In Part III, he introduces a methodology for effective real-world application of computational intelligence while minimizing development cost, and he outlines the critical, underestimated technology marketing efforts required. The methodology can improve the existing capabilities of Six Sigma, one of the most popular work processes in industry. Finally, in Part IV the author looks to technologies still in the research domain, such as perception-based computing, artificial immune systems, and systems with evolved structure, and he examines the future for computational intelligence applications while taking into account projected industrial needs. The author adopts a light tone in the book, visualizes many of the techniques and ideas, and supports the text with notes from successful implementations. The book is ideal for engineers implementing these techniques in the real world, managers charged with creating value and reducing costs in the related industries, and scientists in computational intelligence looking towards the application of their research.

ISBN: 9783540699101

Publisher. No.: 11983774

LCCN: 2009940398Subjects--Topical Terms:

527441
Business
--Data processing.

LC Class. No.: HF5548.2 / .K6283 2010

Applying computational intelligence : = how to create value /
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100 1 $a Kordon, Arthur K. $3 1066659
245 1 0 $a Applying computational intelligence : $b how to create value / $c Arthur K. Kordon.
260 # $a Heidelberg ; $a New York : $b Springer, $c c2010.
300 $a xxii, 459 p. : $b ill. ; $c 24 cm.
500 $a Includes glossary.
504 $a Includes bibliographical references and index.
520 # $a The flow of academic ideas in the area of computational intelligence is impacting industrial practice at considerable speed. Practitioners face the challenge of tracking, understanding and applying the latest techniques, which often prove their value even before the underlying theories are fully understood. This book offers realistic guidelines on creating value from the application of computational intelligence methods. In Part I, the author offers simple explanations of the key computational intelligence technologies: fuzzy logic, neural networks, support vector machines, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he defines the typical business environment and analyzes the competitive advantages these techniques offer. In Part III, he introduces a methodology for effective real-world application of computational intelligence while minimizing development cost, and he outlines the critical, underestimated technology marketing efforts required. The methodology can improve the existing capabilities of Six Sigma, one of the most popular work processes in industry. Finally, in Part IV the author looks to technologies still in the research domain, such as perception-based computing, artificial immune systems, and systems with evolved structure, and he examines the future for computational intelligence applications while taking into account projected industrial needs. The author adopts a light tone in the book, visualizes many of the techniques and ideas, and supports the text with notes from successful implementations. The book is ideal for engineers implementing these techniques in the real world, managers charged with creating value and reducing costs in the related industries, and scientists in computational intelligence looking towards the application of their research.
650 # 0 $a Business $x Data processing. $3 527441
650 # 0 $a Computational intelligence. $3 595739
650 # 0 $a Expert systems (Computer science) $3 527462