000898577 000__ 03212cam\a2200505Ii\4500 000898577 001__ 898577 000898577 005__ 20230306150232.0 000898577 006__ m\\\\\o\\d\\\\\\\\ 000898577 007__ cr\cn\nnnunnun 000898577 008__ 190628s2019\\\\sz\a\\\\o\\\\\101\0\eng\d 000898577 020__ $$a9783030228088$$q(electronic book) 000898577 020__ $$a3030228088$$q(electronic book) 000898577 020__ $$z9783030228071 000898577 0248_ $$a10.1007/978-3-030-22 000898577 035__ $$aSP(OCoLC)on1106168014 000898577 035__ $$aSP(OCoLC)1106168014 000898577 040__ $$aLQU$$beng$$erda$$cLQU$$dNOC$$dGW5XE$$dYDXIT$$dUKMGB$$dOCLCF$$dOCLCO 000898577 049__ $$aISEA 000898577 050_4 $$aQA76.87$$b.I58 2019 000898577 08204 $$a006.3$$223 000898577 1112_ $$aInternational Symposium on Neural Networks$$n(16th :$$d2019 :$$cMoscow, Russia) 000898577 24510 $$aAdvances in neural networks -- ISNN 2019 :$$b16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019, Proceedings.$$nPart II /$$cHuchuan Lu, Huajin Tang, Zhanshan Wang (Eds.). 000898577 2463_ $$aISNN 2019 000898577 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2019] 000898577 300__ $$a1 online resource 000898577 336__ $$atext$$btxt$$2rdacontent 000898577 337__ $$acomputer$$bc$$2rdamedia 000898577 338__ $$aonline resource$$bcr$$2rdacarrier 000898577 4901_ $$aLecture notes in computer science ;$$v11555 000898577 4901_ $$aLNCS sublibrary. SL 1, Theoretical computer science and general issues 000898577 500__ $$aIncludes index. 000898577 5050_ $$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. 000898577 506__ $$aAccess limited to authorized users. 000898577 520__ $$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. 000898577 588__ $$aDescription based on online resource; title from digital title page (viewed on July 23, 2019). 000898577 650_0 $$aNeural networks (Computer science)$$vCongresses. 000898577 7001_ $$aLu, Huchuan,$$eeditor. 000898577 7001_ $$aTang, Huajin,$$eeditor. 000898577 7001_ $$aWang, Zhanshan,$$eeditor. 000898577 830_0 $$aLecture notes in computer science ;$$v11555. 000898577 830_0 $$aLNCS sublibrary.$$nSL 1,$$pTheoretical computer science and general issues. 000898577 852__ $$bebk 000898577 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-22808-8$$zOnline Access$$91397441.1 000898577 909CO $$ooai:library.usi.edu:898577$$pGLOBAL_SET 000898577 980__ $$aEBOOK 000898577 980__ $$aBIB 000898577 982__ $$aEbook 000898577 983__ $$aOnline 000898577 994__ $$a92$$bISE