Advances in Data Analysis with Computational Intelligence Methods (eBook, PDF)
Dedicated to Professor Jacek Zurada
Redaktion: Gaweda, Adam E; Yen, Gary G.; Rutkowski, Leszek; Kacprzyk, Janusz
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Advances in Data Analysis with Computational Intelligence Methods (eBook, PDF)
Dedicated to Professor Jacek Zurada
Redaktion: Gaweda, Adam E; Yen, Gary G.; Rutkowski, Leszek; Kacprzyk, Janusz
- Format: PDF
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Presents present and future challenges of computational intelligence
Presents Advances in Data Analysis and Systems Modeling with Computational Intelligence Methods
Dedicated book to Professor Jacek Zurada
- Geräte: PC
- ohne Kopierschutz
- eBook Hilfe
- Größe: 13.33MB
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Presents present and future challenges of computational intelligence
Presents Advances in Data Analysis and Systems Modeling with Computational Intelligence Methods
Dedicated book to Professor Jacek Zurada
Presents Advances in Data Analysis and Systems Modeling with Computational Intelligence Methods
Dedicated book to Professor Jacek Zurada
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Springer International Publishing
- Seitenzahl: 412
- Erscheinungstermin: 21. September 2017
- Englisch
- ISBN-13: 9783319679464
- Artikelnr.: 52936966
- Verlag: Springer International Publishing
- Seitenzahl: 412
- Erscheinungstermin: 21. September 2017
- Englisch
- ISBN-13: 9783319679464
- Artikelnr.: 52936966
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
PART 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.
PART 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.