01605nam2 22003613i 450 SUN008903320160115110009.494978-88-04-44456-520120518d2007 |0itac50 baitaGRCIT|||| |||||ˆ6: La ‰battaglia di MaratonaErodotoa cura di Giuseppe Nenci3. ed[Milano]Fondazione Lorenzo VallaMondadori2007LXXII, 331 p., [4] c. di tav.ill.21 cm. - Testo orig. a fronte.001SUN00721972001 Le *storieErodoto6210 [Roma]Fondazione Lorenzo Valla ; [Milano]Mondadori ; [poi] [Milano]Fondazione Lorenzo VallaMondadori215 volumi20 cm.MilanoSUNL000284HerodotusSUNV010165162857Nenci, Giuseppe1924-1999SUNV073098Fondazione Lorenzo VallaSUNV000044650ErodotoHerodotusSUNV074652HérodotHerodotusSUNV074653Erodoto di AlicarnassoHerodotusSUNV074654HerodotoHerodotusSUNV074655Erodoto : d'AlicarnassoHerodotusSUNV092729Herodotus, HalicarnassensisHerodotusSUNV092730Herodotus, HaliHerodotusSUNV092731ITSOL20190318RICASUN0089033UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI LETTERE E BENI CULTURALI07CONS Xd 7 HDT VI 07 20308 20120518 Battaglia di Maratona1401479UNICAMPANIA03108nam 2200553I 450 991079365420332120190617112505.01-83867-173-01-83867-171-4(CKB)4100000008415740(MiAaPQ)EBC5787820(UtOrBLW)9781838671716(EXLCZ)99410000000841574020190617h20192019 uy 0engurun|||||||||txtrdacontentcrdamediacrrdacarrierSelf-learning and adaptive algorithms for business applications a guide to adaptive neuro-fuzzy systems for fuzzy clustering under uncertainty conditions /Zhengbing Hu, Yevgeniy V. Bodyanskiy, and Oleksii K. TyshchenkoFirst edition.Bingley, UK :Emerald Publishing,2019.1 online resource (117 pages)Emerald points1-83867-174-9 Includes bibliographical references.Prelims -- Introduction -- Review of the problem area -- Adaptive methods of fuzzy clustering -- Kohonen maps and their ensembles for fuzzy clustering tasks -- Simulation results and solutions for practical tasks -- Conclusion -- References.In today's data-driven world, more sophisticated algorithms for data processing are in high demand, mainly when the data cannot be handled with the help of traditional techniques. Self-learning and adaptive algorithms are now widely used by such leading giants that as Google, Tesla, Microsoft, and Facebook in their projects and applications.In this guide designed for researchers and students of computer science, readers will find a resource for how to apply methods that work on real-life problems to their challenging applications, and a go-to work that makes fuzzy clustering issues and aspects clear. Including research relevant to those studying cybernetics, applied mathematics, statistics, engineering, and bioinformatics who are working in the areas of machine learning, artificial intelligence, complex system modeling and analysis, neural networks, and optimization, this is an ideal read for anyone interested in learning more about the fascinating new developments in machine learning. Emerald points.BusinessData processingElectronic data processingFuzzy systemsBusiness & EconomicsResearch & DevelopmentbisacshNeural networks & fuzzy systemsbicsscBusinessData processing.Electronic data processing.Fuzzy systems.Business & EconomicsResearch & Development.Neural networks & fuzzy systems.004Hu Zhengbing898601Bodyanskiy Yevgeniy V.Tyshchenko OleksiiUtOrBLWUtOrBLWBOOK9910793654203321Self-learning and adaptive algorithms for business applications3853127UNINA