LEADER 03783nam 22007455 450 001 9910337852503321 005 20230329230057.0 010 $a3-030-22808-8 024 7 $a10.1007/978-3-030-22808-8 035 $a(CKB)4100000008527403 035 $a(DE-He213)978-3-030-22808-8 035 $a(MiAaPQ)EBC5919893 035 $a(PPN)254916635 035 $a(EXLCZ)994100000008527403 100 $a20190626d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Neural Networks ? ISNN 2019 $e16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10?12, 2019, Proceedings, Part II /$fedited by Huchuan Lu, Huajin Tang, Zhanshan Wang 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXI, 615 p. 322 illus., 201 illus. in color.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11555 311 $a3-030-22807-X 327 $aLearning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware. 330 $aThis two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019. The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware. . 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11555 606 $aArtificial intelligence 606 $aComputer vision 606 $aNumerical analysis 606 $aData mining 606 $aComputer science?Mathematics 606 $aAlgorithms 606 $aArtificial Intelligence 606 $aComputer Vision 606 $aNumerical Analysis 606 $aData Mining and Knowledge Discovery 606 $aMathematical Applications in Computer Science 606 $aAlgorithms 615 0$aArtificial intelligence. 615 0$aComputer vision. 615 0$aNumerical analysis. 615 0$aData mining. 615 0$aComputer science?Mathematics. 615 0$aAlgorithms. 615 14$aArtificial Intelligence. 615 24$aComputer Vision. 615 24$aNumerical Analysis. 615 24$aData Mining and Knowledge Discovery. 615 24$aMathematical Applications in Computer Science. 615 24$aAlgorithms. 676 $a006.3 676 $a006.3 702 $aLu$b Huchuan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTang$b Huajin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWang$b Zhanshan$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910337852503321 996 $aAdvances in Neural Networks ? ISNN 2019$92502761 997 $aUNINA