000 04303nam a22004935i 4500
001 978-3-540-69913-2
003 DE-He213
005 20140220084519.0
007 cr nn 008mamaa
008 100301s2010 gw | s |||| 0|eng d
020 _a9783540699132
_9978-3-540-69913-2
024 7 _a10.1007/978-3-540-69913-2
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aKordon, Arthur.
_eauthor.
245 1 0 _aApplying Computational Intelligence
_h[electronic resource] :
_bHow to Create Value /
_cby Arthur Kordon.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _aXXII, 459p. 20 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aComputational Intelligence in a Nutshell -- Artificial vs. Computational Intelligence -- A Roadmap Through the Computational Intelligence Maze -- Let's Get Fuzzy -- Machine Learning: The Ghost in the Learning Machine -- Evolutionary Computation: The Profitable Gene -- Swarm Intelligence: The Benefits of Swarms -- Intelligent Agents: The Computer Intelligence Agency (CIA) -- Computational Intelligence Creates Value -- Why We Need Intelligent Solutions -- Competitive Advantages of Computational Intelligence -- Issues in Applying Computational Intelligence -- Computational Intelligence Application Strategy -- Integrate and Conquer -- How to Apply Computational Intelligence -- Computational Intelligence Marketing -- Industrial Applications of Computational Intelligence -- The Future of Computational Intelligence -- Future Directions of Applied Computational Intelligence.
520 _aThe 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 _aEngineering.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aEngineering design.
650 0 _aTechnology.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aTechnology Management.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aEngineering Design.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540699101
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-69913-2
912 _aZDB-2-ENG
999 _c111201
_d111201