000823746 000__ 05445cam\a2200517Ii\4500 000823746 001__ 823746 000823746 005__ 20230306144047.0 000823746 006__ m\\\\\o\\d\\\\\\\\ 000823746 007__ cr\cn\nnnunnun 000823746 008__ 170929s2018\\\\sz\a\\\\o\\\\\010\0\eng\d 000823746 019__ $$a1005454386 000823746 020__ $$a9783319679464$$q(electronic book) 000823746 020__ $$a3319679465$$q(electronic book) 000823746 020__ $$z9783319679457 000823746 020__ $$z3319679457 000823746 0247_ $$a10.1007/978-3-319-67946-4$$2doi 000823746 035__ $$aSP(OCoLC)on1004960200 000823746 035__ $$aSP(OCoLC)1004960200$$z(OCoLC)1005454386 000823746 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dNJR$$dOCLCF$$dCOO$$dYDX$$dUAB$$dU3W$$dCAUOI 000823746 049__ $$aISEA 000823746 050_4 $$aQ342 000823746 08204 $$a006.3$$223 000823746 24500 $$aAdvances in data analysis with computational intelligence methods :$$bdedicated to Professor Jacek Żurada /$$cAdam E. Gawęda, Janusz Kacprzyk, Leszek Rutkowski, Gary G. Yen, editors. 000823746 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2018]. 000823746 300__ $$a1 online resource (xx, 412 pages) :$$billustrations. 000823746 336__ $$atext$$btxt$$2rdacontent 000823746 337__ $$acomputer$$bc$$2rdamedia 000823746 338__ $$aonline resource$$bcr$$2rdacarrier 000823746 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vvolume 738 000823746 5050_ $$aPART 1, Data mining, machine learning, knowledge discovery, Tensor Networks for Dimensionality Reduction, Big Data and Deep Learning -- Local Data Characteristics in Learning Classifiers from Imbalanced Data -- Similarity dimensions of semantic ontologies -- Some interesting phenomenon occurring during self-learning process with its psychological interpretation -- PART 2, Neural networks and connectionist systems, On the interpretation and characterization of echo state networks dynamics: A complex systems perspective -- Optimization of Ensemble Neural Networks with Type-1 and Interval Type-2 Fuzzy Integration for Forecasting the Taiwan Stock Exchange -- Deep Neural Networks ? A Brief History -- PART 3, Intelligent technologies in systems modeling, Techniques for Construction and Integration of Rule Bases -- New Aspects of Interpretability of Fuzzy Systems for Nonlinear Modeling -- On the intuitionistic fuzzy sets of n-th type -- PART 4. Intelligent technologies in decision making, optimization and control, MCTS/UCT in solving real-life problems -- Interactive cone contraction for evolutionary mutliple objective optimization -- A review of fuzzy and mathematic methods for dynamic parameter adaptation in the firefly algorithm -- PART 5. Applications of intelligent technologies Computational Intelligence Methods in Personalized Pharmacotherapy -- Embodying Intelligence in Autonomous and Robotic Systems with the Use of Cognitive Psychology and Motivation Theories -- Evolutionary Approach for Automatic Design of PID Controllers -- Fuzzy-genetic approach to identity verification using a handwritten signature -- A method of design and optimization for SiC-based grid-connected AC-DC converters. 000823746 506__ $$aAccess limited to authorized users. 000823746 520__ $$aThis book is a tribute to Professor Jacek Żurada, who is best known for his contributions to computational intelligence and knowledge-based neurocomputing. It is dedicated to Professor Jacek Żurada, Full Professor at the Computational Intelligence Laboratory, Department of Electrical and Computer Engineering, J.B. Speed School of Engineering, University of Louisville, Kentucky, USA, as a token of appreciation for his scientific and scholarly achievements, and for his longstanding service to many communities, notably the computational intelligence community, in particular neural networks, machine learning, data analyses and data mining, but also the fuzzy logic and evolutionary computation communities, to name but a few. At the same time, the book recognizes and honors Professor Żurada's dedication and service to many scientific, scholarly and professional societies, especially the IEEE (Institute of Electrical and Electronics Engineers), the world's largest professional technical professional organization dedicated to advancing science and technology in a broad spectrum of areas and fields. The volume is divided into five major parts, the first of which addresses theoretic, algorithmic and implementation problems related to the intelligent use of data in the sense of how to derive practically useful information and knowledge from data. In turn, Part 2 is devoted to various aspects of neural networks and connectionist systems. Part 3 deals with essential tools and techniques for intelligent technologies in systems modeling and Part 4 focuses on intelligent technologies in decision-making, optimization and control, while Part 5 explores the applications of intelligent technologies. 000823746 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 29, 2017). 000823746 650_0 $$aComputational intelligence. 000823746 650_0 $$aData mining. 000823746 7001_ $$aZurada, Jacek M.,$$ehonouree. 000823746 7001_ $$aGawęda, Adam E.$$eeditor. 000823746 7001_ $$aKacprzyk, Janusz,$$eeditor. 000823746 7001_ $$aRutkowski, Leszek,$$eeditor. 000823746 7001_ $$aYen, Gary G.,$$eeditor. 000823746 77608 $$iPrint version: $$z3319679457$$z9783319679457$$w(OCoLC)1000591140 000823746 830_0 $$aStudies in computational intelligence ;$$vv. 738.$$x1860-949X 000823746 852__ $$bebk 000823746 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-67946-4$$zOnline Access$$91397441.1 000823746 909CO $$ooai:library.usi.edu:823746$$pGLOBAL_SET 000823746 980__ $$aEBOOK 000823746 980__ $$aBIB 000823746 982__ $$aEbook 000823746 983__ $$aOnline 000823746 994__ $$a92$$bISE