{"product_id":"evolving-intelligent-systems-methodology-and-applications-ieee-press-series-on-computational-intelligence-0470287195","title":"Evolving Intelligent Systems: Methodology and Applications (IEEE Press Series on Computational Intelligence)","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0470287195\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Angelov, Plamen\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eFrom theory to techniques, the first all-in-one resource for EISThere 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 emphasis on the balance between novel theoretical results and solutions and practical real-life applications.Explains the following fundamental approaches for developing evolving intelligent systems (EIS): the Hierarchical Prioritized Structurethe Participatory Learning Paradigmthe Evolving Takagi-Sugeno fuzzy systems (eTS+)the evolving clustering algorithm that stems from the well-known Gustafson-Kessel offline clustering algorithmEmphasizes the importance and increased interest in online processing of data streamsOutlines the general strategy of using the fuzzy dynamic clustering as a foundation for evolvable information granulationPresents a methodology for developing robust and interpretable evolving fuzzy rule-based systemsIntroduces an integrated approach to incremental (real-time) feature extraction and classificationProposes a study on the stability of evolving neuro-fuzzy recurrent networksDetails methodologies for evolving clustering and classificationReveals different applications of EIS to address real problems in areas of:evolving inferential sensors in chemical and petrochemical industrylearning and recognition in roboticsFeatures downloadable software resourcesEvolving Intelligent Systems is the one-stop reference guide for both theoretical and practical issues for computer scientists, engineers, researchers, applied mathematicians, machine learning and data mining experts, graduate students, and professionals.\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":51936342212896,"sku":"NEW0470287195","price":173.17,"currency_code":"USD","in_stock":false}],"url":"https:\/\/miakarts.com\/products\/evolving-intelligent-systems-methodology-and-applications-ieee-press-series-on-computational-intelligence-0470287195","provider":"Miakarts Books","version":"1.0","type":"link"}