Evolving Intelligent Systems

Beschreibung

From theory to techniques, the first all-in-one resource forEIS There is a clear demand in advanced process industries, defense,and Internet and communication (VoIP) applications for intelligentyet adaptive/evolving systems. Evolving Intelligent Systems is thefirst self- contained volume that covers this newly establishedconcept in its entirety, from a systematic methodology to casestudies to industrial applications. Featuring chapters written byleading world experts, it addresses the progress, trends, and majorachievements in this emerging research field, with a strongemphasis on the balance between novel theoretical results andsolutions and practical real-life applications. * Explains the following fundamental approaches for developingevolving intelligent systems (EIS): * * the Hierarchical Prioritized Structure * the Participatory Learning Paradigm * the Evolving Takagi-Sugeno fuzzy systems (eTS+) * the evolving clustering algorithm that stems from the well-knownGustafson-Kessel offline clustering algorithm * Emphasizes the importance and increased interest in onlineprocessing of data streams * Outlines the general strategy of using the fuzzy dynamicclustering as a foundation for evolvable informationgranulation * Presents a methodology for developing robust and interpretableevolving fuzzy rule-based systems * Introduces an integrated approach to incremental (real-time)feature extraction and classification * Proposes a study on the stability of evolving neuro-fuzzyrecurrent networks * Details methodologies for evolving clustering andclassification * Reveals different applications of EIS to address real problemsin areas of: * * evolving inferential sensors in chemical and petrochemicalindustry * learning and recognition in robotics * Features downloadable software resources Evolving Intelligent Systems is the one-stop reference guide forboth theoretical and practical issues for computer scientists,engineers, researchers, applied mathematicians, machine learningand data mining experts, graduate students, and professionals.

Autor*in

Plamen Angelov

Themen in »Evolving Intelligent Systems«

Computer Science Computer Science Special Topics Electrical & Electronics Engineering Elektrotechnik u. Elektronik Informatik Intelligent Systems & Agents Intelligente Systeme Intelligente Systeme u. Agenten Spezialthemen Informatik

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