03102nam 2200529 450 991046699860332120200520144314.03-11-051875-910.1515/9783110520651(CKB)4100000001502393(MiAaPQ)EBC5157319(DE-B1597)473550(OCoLC)1024050311(DE-B1597)9783110520651(Au-PeEL)EBL5157319(CaPaEBR)ebr11497577(OCoLC)1020026051(EXLCZ)99410000000150239320180206h20182018 uy 0engurcnu||||||||rdacontentrdamediardacarrierDynamic fuzzy machine learning /Li Fanzhang, Zhang Li, Zhang ZhaoBerlin, [Germany] ;Boston, [Massachusetts] :De Gruyter,2018.©20181 online resource (338 pages)Includes index.3-11-051870-8 3-11-052065-6 Frontmatter -- Preface / Fanzhang, Li -- Contents -- 1. Dynamic fuzzy machine learning model -- 2. Dynamic fuzzy autonomic learning subspace algorithm -- 3. Dynamic fuzzy decision tree learning -- 4. Concept learning based on dynamic fuzzy sets -- 5. Semi-supervised multi-task learning based on dynamic fuzzy sets -- 6. Dynamic fuzzy hierarchical relationships -- 7. Multi-agent learning model based on dynamic fuzzy logic -- 8. Appendix -- IndexMachine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.Fuzzy logicElectronic books.Fuzzy logic.511.3Fanzhang Li1046963Li ZhangZhao ZhangMiAaPQMiAaPQMiAaPQBOOK9910466998603321Dynamic fuzzy machine learning2474258UNINA02264nam1 2200409 i 450 CFI008219520251003044119.020080620g1988 ||||0itac50 baitaitz01i xxxe z01nRelazioni industriali e contrattazione collettiva in Italia, 1945-1988l'evoluzione nei settori agricolo, chimico, metalmeccanico, elettricoa cura di Bruno VenezianiBariCacucci1988- v.25 cm.Ricerche di diritto del lavoro e di relazioni industriali 001CFI08066162001 Ricerche di diritto del lavoro e di relazioni industriali 71202Università degli studi di Bari Aldo MoroCFIV031841001CFI00822542000 1contributi di Canio Lagala ... [et al.]introduzione di Bruno Veneziani1Contratti collettiviItalia1945-1988FIRCFIC029534IRelazioni industrialiItalia1945-1988FIRCFIC029535I331.890945CONTRATTAZIONE COLLETTIVA E VERTENZE SINDACALI. ITALIA19331.890945CONTRATTAZIONE COLLETTIVA E VERTENZE SINDACALI IN ITALIA20Accordi collettiviContratti collettivi d'impiegoRapporti collettivi di lavoroContratti collettivi di lavoroAccordi collettivi di lavoroContratti collettiviAccordi collettiviContratti collettiviContratti collettivi d'impiegoContratti collettiviRapporti collettivi di lavoroContratti collettiviContratti collettivi di lavoroContratti collettiviAccordi collettivi di lavoroVeneziani, Bruno <1941- >CFIV007383ITIT-00000020080620IT-BN0095 NAP 01POZZO LIB.Vi sono collocati fondi di economia, periodici di ingegneria e scienze, periodici di economia e statistica e altri fondi comprendenti documenti di economia pervenuti in dono. CFI0082195Biblioteca Centralizzata di Ateneov. 1- 01POZZO LIB.ECON MON 9648 01Relazioni industriali e contrattazione collettiva in Italia, 1945-198862123UNISANNIO