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020 _a9783540321064
_9978-3-540-32106-4
024 7 _a10.1007/b136983
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aComputational Intelligence and Bioinspired Systems
_h[electronic resource] :
_b8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la GeltrĂș, Barcelona, Spain, June 8-10, 2005, Proceedings /
_cedited by Joan Cabestany, Alberto Prieto, Francisco Sandoval.
250 _a1st ed. 2005.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2005.
300 _aXXV, 1260 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 ;
_v3512
505 0 _aMathematical and Theoretical Methods -- Evolutionary Computation -- Neurocomputational Inspired Models -- Learning and Adaptation -- Radial Basic Functions Structures -- Self-organizing Networks and Methods -- Support Vector Machines -- Cellular Neural Networks -- Hybrid Systems -- Neuroengineering and Hardware Implementations -- Pattern Recognition -- Perception and Robotics -- Applications on Data Analysis and Preprocessing -- Applications on Data Mining -- Applications on Signal Processing -- Applications on Image Processing -- Applications on Forecasting -- Applications on Independent Component Analysis and Blind Source Separation -- Applications on Power Systems -- Other Applications.
520 _aWe present in this volume the collection of finally accepted papers of the eighth edition of the "IWANN" conference ("International Work-Conference on Artificial Neural Networks"). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evolutionary systems). Since the first edition of IWANN in Granada (LNCS 540, 1991), the Artificial Neural Network (ANN) community, and the domain itself, have matured and evolved. Under the ANN banner we find a very heterogeneous scenario with a main interest and objective: to better understand nature and beings for the correct elaboration of theories, models and new algorithms. For scientists, engineers and professionals working in the area, this is a very good way to get solid and competitive applications. We are facing a real revolution with the emergence of embedded intelligence in many artificial systems (systems covering diverse fields: industry, domotics, leisure, healthcare, ... ). So we are convinced that an enormous amount of work must be, and should be, still done. Many pieces of the puzzle must be built and placed into their proper positions, offering us new and solid theories and models (necessary tools) for the application and praxis of these current paradigms. The above-mentioned concepts were the main reason for the subtitle of the IWANN 2005 edition: "Computational Intelligence and Bioinspired Systems." The call for papers was launched several months ago, addressing the following topics: 1. Mathematical and theoretical methods in computational intelligence.
650 0 _aArtificial intelligence.
_93407
650 0 _aPattern recognition systems.
_93953
650 0 _aComputer science.
_99832
650 0 _aAlgorithms.
_93390
650 0 _aComputer vision.
_9154988
650 0 _aEvolution (Biology).
_916952
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aTheory of Computation.
_9154989
650 2 4 _aAlgorithms.
_93390
650 2 4 _aComputer Vision.
_9154990
650 2 4 _aEvolutionary Biology.
_934708
700 1 _aCabestany, Joan.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9154991
700 1 _aPrieto, Alberto.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9154992
700 1 _aSandoval, Francisco.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9154993
710 2 _aSpringerLink (Online service)
_9154994
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540262084
776 0 8 _iPrinted edition:
_z9783540811817
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v3512
_9154995
856 4 0 _uhttps://doi.org/10.1007/b136983
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