| 000 | 05494nam a22003735i 4500 | ||
|---|---|---|---|
| 001 | 102552 | ||
| 003 | DE-He213 | ||
| 005 | 20240111050140.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170922s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783319679464 | ||
| 024 | 7 |
_a10.1007/978-3-319-67946-4 _2doi |
|
| 050 |
_aQ342 _b.A383 2018 EB |
||
| 040 |
_aES-MaUEC _bspa |
||
| 245 | 1 | 0 |
_aAdvances in Data Analysis with Computational Intelligence Methods _bDedicated to Professor Jacek Żurada _cedited by Adam E Gawęda, Janusz Kacprzyk, Leszek Rutkowski, Gary G. Yen. |
| 264 | 1 |
_aCham _bSpringer International Publishing _c2018 |
|
| 300 | _a1 recurso en línea (XX, 412 páginas 126 ilustraciones, 59 ilustraciones a color.) | ||
| 347 |
_atext file _bPDF |
||
| 490 | 0 |
_aStudies in Computational Intelligence _x1860-949X _v738 |
|
| 505 | 0 | _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. | |
| 520 | 3 | _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. | |
| 650 | 7 |
_aInteligencia artificial _2embne _9413115 |
|
| 700 | 1 |
_aGawęda, Adam E. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/18150939892226601262/ |
|
| 700 | 1 |
_aKacprzyk, Janusz _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n85191529 _1http://viaf.org/viaf/101730959/ _996945 |
|
| 700 | 1 |
_aRutkowski, Leszek. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n85318361 _1http://viaf.org/viaf/101788545/ |
|
| 700 | 1 |
_aYen, Gary G. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2008012102 _1http://viaf.org/viaf/11839218/ |
|
| 776 | 0 | 8 |
_iEdición impresa: _z9783319679457 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319679471 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319885162 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-67946-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 490 | 0 | _aEngineering (Springer-11647) | |
| 988 | _aEBSPRINGER_2018 | ||
| 998 |
_b12/2018 _dz _ef _feng _ggw _h0 |
||
| 999 |
_c102552 _d102552 _x1 |
||