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020 _a9783540688600
_9978-3-540-68860-0
024 7 _a10.1007/978-3-540-68860-0
_2doi
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082 0 4 _a006.312
_223
245 1 0 _aComputational Intelligence: Research Frontiers
_h[electronic resource] :
_bIEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures /
_cedited by Jacek M. Zurada, Gary G. Yen, Jun Wang.
250 _a1st ed. 2008.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2008.
300 _aXVI, 389 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v5050
505 0 _aMachine Learning and Brain Computer Interface -- A New Framework for Machine Learning -- Bilevel Optimization and Machine Learning -- Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family -- The Berlin Brain-Computer Interface -- Basic Scheme of Neuroinformatics Platform: XooNIps -- Fuzzy Modeling and Control -- Collaborative Architectures of Fuzzy Modeling -- Information Fusion for Man-Machine Cooperation -- Bio-inspired Self-Organizing Relationship Network as Knowledge Acquisition Tool and Fuzzy Inference Engine -- Type-2 Fuzzy Logic Controllers: A Way Forward for Fuzzy Systems in Real World Environments -- Computational Evolution -- The Burden of Proof: Part II -- Evolution of Altruistic Robots -- Simulated Evolution under Multiple Criteria Conditions Revisited -- Handling Uncertainties in Evolutionary Multi-Objective Optimization -- Applications -- VCV2 – Visual Cluster Validity -- Data Management by Self-Organizing Maps -- Cocktail Party Processing -- Similarities in Fuzzy Data Mining: From a Cognitive View to Real-World Applications -- Attaining Fault Tolerance through Self-adaption: The Strengths and Weaknesses of Evolvable Hardware Approaches.
520 _aThis state-of-the-art survey offers a renewed and refreshing focus on the progress in nature-inspired and linguistically motivated computation. The book presents the expertise and experiences of leading researchers spanning a diverse spectrum of computational intelligence in the areas of neurocomputing, fuzzy systems, evolutionary computation, and adjacent areas. The result is a balanced contribution to the field of computational intelligence that should serve the community not only as a survey and a reference, but also as an inspiration for the future advancement of the state of the art of the field. The 18 selected chapters originate from lectures and presentations given at the 5th IEEE World Congress on Computational Intelligence, WCCI 2008, held in Hong Kong, China, in June 2008. After an introduction to the field and an overview of the volume, the chapters are divided into four topical sections on machine learning and brain computer interface, fuzzy modeling and control, computational evolution, and applications.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aComputer engineering.
650 0 _aComputer networks .
650 0 _aDatabase management.
650 0 _aInformation storage and retrieval systems.
650 0 _aApplication software.
650 1 4 _aData Mining and Knowledge Discovery.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputer Engineering and Networks.
650 2 4 _aDatabase Management.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aComputer and Information Systems Applications.
700 1 _aZurada, Jacek M.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aYen, Gary G.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWang, Jun.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540688587
776 0 8 _iPrinted edition:
_z9783540848189
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v5050
856 4 0 _uhttps://doi.org/10.1007/978-3-540-68860-0
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