Author Description

From Theory To Techniques, The First All-in-one Resource For Eis There Is A Clear Demand In Advanced Process Industries, Defense, And Internet And Communication (voip) Applications For Intelligent Yet Adaptive/evolving Systems. Evolving Intelligent Systems Is The First Self- Contained Volume That Covers This Newly Established Concept In Its Entirety, From A Systematic Methodology To Case Studies To Industrial Applications. Featuring Chapters Written By Leading World Experts, It Addresses The Progress, Trends, And Major Achievements In This Emerging Research Field, With A Strong Emphas 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. Geor