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Autor(en): 
  • Timothy J. Ross
  • Fuzzy Logic with Engineering Applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2016  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Control Process & Measurements / Control Systems Technology / Electrical & Electronics Engineering / Elektrotechnik u. Elektronik / Fuzzy Systems / Fuzzy-Logik / Fuzzy-Systeme / Maschinenbau / Mechanical Engineering / Mess- u. Regeltechnik / Regelungstechnik
    ISBN:  9781119235866 
    EAN-Code: 
    9781119235866 
    Verlag:  Wiley 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 244 mm / B 170 mm / D 26 mm 
    Gewicht:  886 gr 
    Seiten:  580 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Fuzzy Logic with Engineering Applications, Fourth Edition Timothy J. Ross, University of New Mexico, USA The latest update on this popular textbook The importance of concepts and methods based on fuzzy logic and fuzzy set theory has been rapidly growing since the early 1990s and all the indications are that this trend will continue in the foreseeable future. Fuzzy Logic with Engineering Applications, Fourth Edition is a new edition of the popular textbook with 15% of new and updated material. Updates have been made to most of the chapters and each chapter now includes new end-of-chapter problems. Key features: * New edition of the popular textbook with 15% of new and updated material. * Includes new examples and end-of-chapter problems. * Has been made more concise with the removal of out of date material. * Covers applications of fuzzy logic to engineering and science. * Accompanied by a website hosting a solutions manual and software. The book is essential reading for graduates and senior undergraduate students in civil, chemical, mechanical and electrical engineering as wells as researchers and practitioners working with fuzzy logic in industry.
      



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