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Evolving intelligent systems : methodology and applications / / Plamen Angelov, Dimitar P. Filev, Nik Kasabov
Evolving intelligent systems : methodology and applications / / Plamen Angelov, Dimitar P. Filev, Nik Kasabov
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley, , c2010
Descrizione fisica 1 online resource (462 p.)
Disciplina 006.3
Altri autori (Persone) KasabovNikola K
FilevDimitar P. <1959->
AngelovPlamen
Collana IEEE press series on computational intelligence
Soggetto topico Computational intelligence
Fuzzy systems
Neural networks (Computer science)
Evolutionary programming (Computer science)
Intelligent control systems
ISBN 1-282-54874-3
9786612548741
0-470-56996-4
0-470-56995-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910140608203321
Hoboken, New Jersey : , : John Wiley, , c2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evolving intelligent systems : methodology and applications / / Plamen Angelov, Dimitar P. Filev, Nik Kasabov
Evolving intelligent systems : methodology and applications / / Plamen Angelov, Dimitar P. Filev, Nik Kasabov
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley, , c2010
Descrizione fisica 1 online resource (462 p.)
Disciplina 006.3
Altri autori (Persone) KasabovNikola K
FilevDimitar P. <1959->
AngelovPlamen
Collana IEEE press series on computational intelligence
Soggetto topico Computational intelligence
Fuzzy systems
Neural networks (Computer science)
Evolutionary programming (Computer science)
Intelligent control systems
ISBN 1-282-54874-3
9786612548741
0-470-56996-4
0-470-56995-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910830007503321
Hoboken, New Jersey : , : John Wiley, , c2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evolving intelligent systems : methodology and applications / / edited by Plamen Angelov, Dimitar P. Filev, Nik Kasabov
Evolving intelligent systems : methodology and applications / / edited by Plamen Angelov, Dimitar P. Filev, Nik Kasabov
Pubbl/distr/stampa Hoboken, N.J., : John Wiley, 2010
Descrizione fisica 1 online resource (462 p.)
Disciplina 006.3
Altri autori (Persone) AngelovPlamen
FilevDimitar P. <1959->
KasabovNikola K
Collana IEEE press series on computational intelligence
Soggetto topico Computational intelligence
Fuzzy systems
Neural networks (Computer science)
Evolutionary programming (Computer science)
Intelligent control systems
ISBN 1-282-54874-3
9786612548741
0-470-56996-4
0-470-56995-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910876501503321
Hoboken, N.J., : John Wiley, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Imprecision and Uncertainty in Information Representation and Processing : New Tools Based on Intuitionistic Fuzzy Sets and Generalized Nets / / edited by Plamen Angelov, Sotir Sotirov
Imprecision and Uncertainty in Information Representation and Processing : New Tools Based on Intuitionistic Fuzzy Sets and Generalized Nets / / edited by Plamen Angelov, Sotir Sotirov
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XI, 414 p. 95 illus. in color.)
Disciplina 511.322
Collana Studies in Fuzziness and Soft Computing
Soggetto topico Computational intelligence
Computer science—Mathematics
Computer mathematics
Operations research
Decision making
Artificial intelligence
Computational Intelligence
Mathematical Applications in Computer Science
Operations Research/Decision Theory
Artificial Intelligence
ISBN 3-319-26302-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Fuzzy, Intuitionistic Fuzzy, What Next?.- On the Atanassov Concept of Fuzziness and One of its Modification.- One, Two and Uni-type Operators on IFSs.- Intuitionistic Fuzzy Inclusion Indicator of Intuitionistic Fuzzy Sets.- Additive Generators Based on Generalized Arithmetic Operators in Interval-Valued Fuzzy and Atanassov's Intuitionistic Fuzzy Set Theory.- How Does a Cognition System Evaluate the Membership Value μ(x)?.- Properties and Applications of Pythagorean Fuzzy Sets.- Consistency and Consensus of Intuitionistic Fuzzy Preference Relations in Group Decision Making.- A Generalized Net Model for Students Evaluation Process, Using InterCriteria Analysis Method.-Differential Calculus on IF Sets.- Intuitionistic Fuzzy Relational Equations in BL−algebras.- Intuitionistic Fuzzy Weakly Open Mappings.- Intuitionistic Fuzzy Dependency Framework.- On the TOPSIS-class Methods in the Intuitionistic Fuzzy Environment.-  Differential Evolution with Fuzzy Logic for Dynamic Adaptation of Parameters In Mathematical Function Optimization.- Recognizing Imbalanced Classes by an Intuitionistic Fuzzy Classifier.- Ensemble Neural Network with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction and its Optimization with PSO.- Intuitionistic Fuzzy Logic and Provisional Acceptance of Scientific Theories: A Tribute to Krassimir Atanassov on the Occasion of his Sixtieth Birthday.- Intuitionistic Fuzzy Estimation of the Generalized nets Model of Spatial-temporal Group Scheduling Problems -- IT Business Service-Level-Management - An Intuitionistic Fuzzy Approach -- Modifications of the Algorithms for Transition Functioning in Gns, GNCP, IFGNCP1 and IFGNCP3 when Merging of Tokens is Permitted.- Generalized net model for monitoring the degree of disability in patients with multiple sclerosis based on neurophysiologic criteria.- Generalized Net Models of Basic Genetic Algorithm Operators.- Generalized Nets in Medicine. An Example of Telemedicine for People with Diabetes.
Record Nr. UNINA-9910254186203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui