Evolving intelligent systems : methodology and applications / Plamen Angelov, Dimitar P. Filev, Nik Kasabov.
Material type:
TextSeries: IEEE series on computational intelligence ; 12Publisher: Hoboken, New Jersey : John Wiley, c2010Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2010]Description: 1 PDF (xv, 444 pages) : illustrationsContent type: - text
- electronic
- online resource
- 9780470569962
- 0470569964
- 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 learning
- 006.3
- 006.3
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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