000 04626nam a22005895i 4500
001 978-3-540-32374-7
003 DE-He213
005 20161121231021.0
007 cr nn 008mamaa
008 100301s2005 gw | s |||| 0|eng d
020 _a9783540323747
_9978-3-540-32374-7
024 7 _a10.1007/3-540-32374-0
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aDo Smart Adaptive Systems Exist?
_h[electronic resource] :
_bBest Practice for Selection and Combination of Intelligent Methods /
_cedited by Bogdan Gabrys, Kauko Leiviskä, Jens Strackeljan.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2005.
300 _aX, 370 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v173
505 0 _aIntelligent Systems: Architectures and Perspectives -- Do Smart Adaptive Systems Exist? — Introduction -- Problem Definition — From Applications to Methods -- Problem Definition — From Applications to Methods -- Data Preparation and Preprocessing -- Data Preparation and Preprocessing -- From Methods To Applications -- Artificial Neural Networks -- Machine Learning and Reinforcement Learning -- Fuzzy Expert Systems -- Learning Algorithms for Neuro-Fuzzy Systems -- Hybrid Intelligent Systems: Evolving Intelligence in Hierarchical Layers -- Evolving Connectionist Systems with Evolutionary Self-Optimisatio -- From Applications To Methods -- Monitoring -- Examples of Smart Adaptive Systems in Model-Based Diagnosis -- Design of Adaptive Fuzzy Controllers -- Optimal Design Synthesis of Component-Based Systems Using Intelligent Techniques -- Intelligent Methods in Finance Applications: From Questions to Solutions -- Neuro-Fuzzy Systems for Explaining Data Sets -- Fuzzy Linguistic Data Summaries as a Human Consistent, User Adaptable Solution to Data Mining -- Adaptive Multimedia Retrieval: From Data to User Interaction.
520 _aThis book is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence. It is therefore not intended as a collection of the most recent research results but a practical guide for experts from other areas and industrial users who are interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions. Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future. An integration of these communities has been one of the main goals of the European Network of Excellence on Smart Adaptive Systems (EUNITE) within which the idea of compiling such a volume has originated. Over three years of various EUNITE activities focusing on issues of adaptation and intelligent behaviour of computing and engineering systems has also led to posing the question which is the title of this book: Do smart adaptive systems exist?
650 0 _aEngineering.
650 0 _aOperations research.
650 0 _aDecision making.
650 0 _aArtificial intelligence.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aStatistical physics.
650 0 _aDynamical systems.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aStatistical Physics, Dynamical Systems and Complexity.
650 2 4 _aOperation Research/Decision Theory.
650 2 4 _aApplications of Mathematics.
700 1 _aGabrys, Bogdan.
_eeditor.
700 1 _aLeiviskä, Kauko.
_eeditor.
700 1 _aStrackeljan, Jens.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540240778
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v173
856 4 0 _uhttp://dx.doi.org/10.1007/3-540-32374-0
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c507358
_d507358