Evolving intelligent systems : methodology and applications / Plamen Angelov, Dimitar P. Filev, Nik Kasabov.
Contributor(s): Kasabov, Nikola K
| Filev, Dimitar P | Angelov, Plamen | John Wiley & Sons [publisher.] | IEEE Xplore (Online service) [distributor.].
Material type: 
BookSeries: IEEE series on computational intelligence: 12Publisher: Hoboken, New Jersey : John Wiley, c2010Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2010]Description: 1 PDF (xv, 444 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9780470569962; 0470569964.Subject(s): Computational intelligence | Fuzzy systems | Neural networks (Computer science) | Evolutionary programming (Computer science) | Intelligent control systems | Accuracy | Adaptation model | Adaptive systems | Algorithm design and analysis | Approximation methods | Artificial neural networks | Benchmark testing | Biographies | Biological system modeling | Books | Brain | Buildings | Chemical industry | Chemical sensors | Clustering algorithms | Complexity theory | Computational modeling | Correlation | Covariance matrix | Data gloves | Data models | Death | Eigenvalues and eigenfunctions | Electrodes | Electroencephalography | Equations | Evolutionary computation | Feature extraction | Fuzzy logic | Fuzzy neural networks | Fuzzy sets | Fuzzy systems | Grasping | Heuristic algorithms | Hidden Markov models | Humans | Indexes | Industries | Input variables | Instruments | Intelligent systems | Joints | Kernel | Knowledge acquisition | Knowledge based systems | Knowledge engineering | Learning systems | Load modeling | MIMO | Mathematical model | Measurement | Medical diagnostic imaging | Merging | Monitoring | Neurons | Neurophysiology | Noise | Numerical models | Optimization | Partitioning algorithms | Petroleum | Pixel | Pragmatics | Principal component analysis | Process control | Prototypes | Real time systems | Robot sensing systems | Robots | Robustness | Sections | Sensors | Service robots | Shape | Signal processing algorithms | Speech processing | Stability analysis | Takagi-Sugeno model | Time series analysis | Time varying systems | Training | Tuning | Unsupervised learningGenre/Form: Electronic books.Additional physical formats: Print version:: No titleDDC classification: 006.3 | 006.3 Online resources: Abstract with links to resource Also available in print.Includes bibliographical references and index.
PREFACE -- Evolving Intelligent Systems -- The Editors -- PART I: METHODOLOGY -- Evolving Fuzzy Systems -- 1. Learning Methods for Evolving Intelligent Systems (R. Yager) -- 2. Evolving Takagi-Sugeno Fuzzy Systems from Data Streams (eTS+) (P. Angelov) -- 3. Fuzzy Models of Evolvable Granularity (W. Pedrycz) -- 4. Evolving Fuzzy Modeling Using Participatory Learning (E. Lima, M. Hell, R. Ballini, and F. Gomide) -- 5. Towards Robust and Transparent Evolving Fuzzy Systems (E. Lughofer) -- 6. The building of fuzzy systems in real-time: towards interpretable fuzzy rules (A. Dourado, C. Pereira, and V. Ramos) -- Evolving Neuro-Fuzzy Systems -- 7. On-line Feature Selection for Evolving Intelligent Systems (S. Ozawa, S. Pang, and N. Kasabov) -- 8. Stability Analysis of an On-Line Evolving Neuro-Fuzzy Network (J. de J. Rubio Avila) -- 9. On-line Identification of Self-organizing Fuzzy Neural Networks for Modelling Time-varying Complex Systems (G. Prasad, T. M. McGinnity, and G. Leng) -- 10. Data Fusion via Fission for the Analysis of Brain Death (L. Li, Y. Saito, D. Looney, T. Tanaka, J. Cao, and D. Mandic) -- Evolving Fuzzy Clustering and Classification -- 11. Similarity Analysis and Knowledge Acquisition by Use of Evolving Neural Models and Fuzzy Decision (G. Vachkov) -- 12. An Extended version of Gustafson-Kessel Clustering Algorithm for Evolving Data Stream Clustering (D. Filev, and O. Georgieva) -- 13. Evolving Fuzzy Classification of Non-Stationary Time Series (Y. Bodyanskiy, Y. Gorshkov, I. Kokshenev, and V. Kolodyazhniy) -- PART II: APPLICATIONS OF EIS -- 14. Evolving Intelligent Sensors in Chemical Industry (A. Kordon et al.) -- 15. Recognition of Human Grasps by Fuzzy Modeling (R Palm, B Kadmiry, and B Iliev) -- 16. Evolutionary Architecture for Lifelong Learning and Real-time Operation in Autonomous Robots (R. J. Duro, F. Bellas and J.A. Becerra) 17. Applications of Evolving Intelligent Systems to Oil and Gas Industry (J. J. Macias Hernandez et al.) -- Conclusion.
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