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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|