000 03917nam a22006615i 4500
001 978-3-540-87732-5
003 DE-He213
005 20240423130007.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 _a9783540877325
_9978-3-540-87732-5
024 7 _a10.1007/978-3-540-87732-5
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aAdvances in Neural Networks
_h[electronic resource] :
_b5th International Symposium on Neural networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I /
_cedited by Fuchun Sun, Jianwei Zhang, Jinde Cao, Wen Yu.
250 _a1st ed. 2008.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2008.
300 _aXXXII, 908 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 ;
_v5263
505 0 _aComputational Neuroscience -- Cognitive Science -- Mathematical Modeling of Neural Systems -- Stability and Nonlinear Analysis -- Feedforward and Fuzzy Neural Networks -- Probabilistic Methods -- Supervised Learning -- Unsupervised Learning -- Support Vector Machine and Kernel Methods -- Hybrid Optimisation Algorithms.
520 _aThe two volume set LNCS 5263/5264 constitutes the refereed proceedings of the 5th International Symposium on Neural Networks, ISNN 2008, held in Beijing, China in September 2008. The 192 revised papers presented were carefully reviewed and selected from a total of 522 submissions. The papers are organized in topical sections on computational neuroscience; cognitive science; mathematical modeling of neural systems; stability and nonlinear analysis; feedforward and fuzzy neural networks; probabilistic methods; supervised learning; unsupervised learning; support vector machine and kernel methods; hybrid optimisation algorithms; machine learning and data mining; intelligent control and robotics; pattern recognition; audio image processinc and computer vision; fault diagnosis; applications and implementations; applications of neural networks in electronic engineering; cellular neural networks and advanced control with neural networks; nature inspired methods of high-dimensional discrete data analysis; pattern recognition and information processing using neural networks.
650 0 _aArtificial intelligence.
650 0 _aComputer programming.
650 0 _aData mining.
650 0 _aComputer science.
650 0 _aComputer simulation.
650 0 _aComputer vision.
650 1 4 _aArtificial Intelligence.
650 2 4 _aProgramming Techniques.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aTheory of Computation.
650 2 4 _aComputer Modelling.
650 2 4 _aComputer Vision.
700 1 _aSun, Fuchun.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aZhang, Jianwei.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCao, Jinde.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aYu, Wen.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540877318
776 0 8 _iPrinted edition:
_z9783540877929
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v5263
856 4 0 _uhttps://doi.org/10.1007/978-3-540-87732-5
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cSPRINGER
999 _c183894
_d183894