LEADER 04442nam 22008055 450 001 996465534003316 005 20230406020405.0 010 $a3-540-87734-7 024 7 $a10.1007/978-3-540-87734-9 035 $a(CKB)1000000000490264 035 $a(SSID)ssj0000715660 035 $a(PQKBManifestationID)11410214 035 $a(PQKBTitleCode)TC0000715660 035 $a(PQKBWorkID)10701719 035 $a(PQKB)11276159 035 $a(DE-He213)978-3-540-87734-9 035 $a(MiAaPQ)EBC4435059 035 $a(MiAaPQ)EBC3063219 035 $a(PPN)129063061 035 $a(EXLCZ)991000000000490264 100 $a20100301d2008 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Neural Networks - ISNN 2008$b[electronic resource] $e5th International Composium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part II /$fedited by Fuchun Sun, Jianwei Zhang, Jinde Cao, Wen Yu 205 $a1st ed. 2008. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2008. 215 $a1 online resource (XXXI, 846 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v5264 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-87733-9 320 $aIncludes bibliographical references and index. 327 $aMachine Learning and Data Mining -- Intelligent Control and Robotics -- Pattern Recognition -- Audio, Image Processing and Computer Vision -- Fault Diagnosis -- Other 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. 330 $aThe two volume set LNCS 5263/5264 constitutes the refereed proceedings of the 5th International Symposium on Neural Networks, ISNN 2008, held in Beijing, China in September 2008. The 192 revised papers presented were carefully reviewed and selected from a total of 522 submissions. The papers are organized in topical sections on computational neuroscience; cognitive science; mathematical modeling of neural systems; stability and nonlinear analysis; feedforward and fuzzy neural networks; probabilistic methods; supervised learning; unsupervised learning; support vector machine and kernel methods; hybrid optimisation algorithms; machine learning and data mining; intelligent control and robotics; pattern recognition; audio image processinc and computer vision; fault diagnosis; applications and implementations; applications of neural networks in electronic engineering; cellular neural networks and advanced control with neural networks; nature inspired methods of high-dimensional discrete data analysis; pattern recognition and information processing using neural networks. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v5264 606 $aComputer programming 606 $aData mining 606 $aComputer simulation 606 $aComputer science 606 $aArtificial intelligence 606 $aComputer vision 606 $aProgramming Techniques 606 $aData Mining and Knowledge Discovery 606 $aComputer Modelling 606 $aTheory of Computation 606 $aArtificial Intelligence 606 $aComputer Vision 615 0$aComputer programming. 615 0$aData mining. 615 0$aComputer simulation. 615 0$aComputer science. 615 0$aArtificial intelligence. 615 0$aComputer vision. 615 14$aProgramming Techniques. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer Modelling. 615 24$aTheory of Computation. 615 24$aArtificial Intelligence. 615 24$aComputer Vision. 676 $a005.11 702 $aSun$b Fuchun$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhang$b Jianwei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCao$b Jinde$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYu$b Wen$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465534003316 996 $aAdvances in Neural Networks - ISNN 2008$9774061 997 $aUNISA