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Price comparison product image Evolving Intelligent Systems: Methodology and Applications (IEEE Press Series on Computational Intelligence)

Evolving Intelligent Systems: Methodology and Applications (IEEE Press Series on Computational Intelligence)

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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.

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