000898599 000__ 03211cam\a2200505Ii\4500 000898599 001__ 898599 000898599 005__ 20230306150232.0 000898599 006__ m\\\\\o\\d\\\\\\\\ 000898599 007__ cr\cn\nnnunnun 000898599 008__ 190628s2019\\\\sz\a\\\\o\\\\\101\0\eng\d 000898599 020__ $$a9783030227968$$q(electronic book) 000898599 020__ $$a3030227960$$q(electronic book) 000898599 020__ $$z9783030227951 000898599 0248_ $$a10.1007/978-3-030-22 000898599 035__ $$aSP(OCoLC)on1106169524 000898599 035__ $$aSP(OCoLC)1106169524 000898599 040__ $$aLQU$$beng$$erda$$cLQU$$dNOC$$dGW5XE$$dYDXIT$$dUKMGB$$dOCLCF$$dOCLCO 000898599 049__ $$aISEA 000898599 050_4 $$aQA76.87$$b.I58 2019 000898599 08204 $$a006.3$$223 000898599 1112_ $$aInternational Symposium on Neural Networks$$n(16th :$$d2019 :$$cMoscow, Russia) 000898599 24510 $$aAdvances in neural networks -- ISNN 2019 :$$b16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019, Proceedings.$$nPart I /$$cHuchuan Lu, Huajin Tang, Zhanshan Wang (Eds.). 000898599 2463_ $$aISNN 2019 000898599 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2019] 000898599 300__ $$a1 online resource 000898599 336__ $$atext$$btxt$$2rdacontent 000898599 337__ $$acomputer$$bc$$2rdamedia 000898599 338__ $$aonline resource$$bcr$$2rdacarrier 000898599 4901_ $$aLecture notes in computer science ;$$v11554 000898599 4901_ $$aLNCS sublibrary. SL 1, Theoretical computer science and general issues 000898599 500__ $$aIncludes index. 000898599 5050_ $$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. 000898599 506__ $$aAccess limited to authorized users. 000898599 520__ $$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. 000898599 588__ $$aDescription based on online resource; title from digital title page (viewed on July 23, 2019). 000898599 650_0 $$aNeural networks (Computer science)$$vCongresses. 000898599 7001_ $$aLu, Huchuan,$$eeditor. 000898599 7001_ $$aTang, Huajin,$$eeditor. 000898599 7001_ $$aWang, Zhanshan,$$eeditor. 000898599 830_0 $$aLecture notes in computer science ;$$v11554. 000898599 830_0 $$aLNCS sublibrary.$$nSL 1,$$pTheoretical computer science and general issues. 000898599 852__ $$bebk 000898599 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-22796-8$$zOnline Access$$91397441.1 000898599 909CO $$ooai:library.usi.edu:898599$$pGLOBAL_SET 000898599 980__ $$aEBOOK 000898599 980__ $$aBIB 000898599 982__ $$aEbook 000898599 983__ $$aOnline 000898599 994__ $$a92$$bISE