Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications

Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications

Raymond Chiong (Swinburne University of Technology - Sarawak Campus, Malaysia)
Indexed In: SCOPUS
Release Date: September, 2009|Copyright: © 2010 |Pages: 360
DOI: 10.4018/978-1-60566-798-0
ISBN13: 9781605667980|ISBN10: 1605667986|EISBN13: 9781605667997
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Description & Coverage
Description:

Intelligent systems are rapidly becoming a central focus of study for researchers as they have the ability to learn and adapt during their existence in order to achieve certain goals and objectives.

Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications presents methodologies, architectures, and approaches on experiential automated learning. This critical mass of sought after research assembles the most intriguing and innovative applications, advancements, and leading studies on the methodology of intellectual computing.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Adaptive and evolutionary systems
  • Ant colony programming
  • Computational intelligence algorithms
  • Dynamic manufacturing scheduling
  • Evolutionary prototype selection
  • Face Recognition
  • Genetic Algorithms
  • Multi-objective filter design problem
  • Neuro-fuzzy network
  • Nonlinear sensor characteristic linearization
  • Novelty detection
  • Particle Swarm Optimization
  • Reconfigurable hardware
  • Social Networks
  • Synthesis of analog circuits
Reviews & Statements

The large number of topics treated in this book related to intelligent adaptive systems and its recent appearance makes it very interesting for a wide range of professional profiles. Within the scientific and research community, this book can be useful relevant contribution for the comprehension of computational intelligence and some of its related fields, such as multi-agent systems, machine learning, pattern recognition, optimisation, knowledge-based systems, natural computing, etc., as it includes novel theoretical researches. Nonetheless, the use of this book may be extended outside the scientific field because it appears practical references that may be interesting to developers and engineers seeking new techniques and ideas, based on intelligent systems, to solve real performance and system efficiency optimisation problems. Finally, the book successfully presents a useful miscellany of tools, techniques and methods within the domain of intelligent systems. Among the book's nice features are the well-organised chapters that touch on a panoply of research-related topics.

– Israel González-Carrasco, Ricardo Colomo-Palacios and José Luis López-Cuadrado, International Journal of Information and Decision Sciences Volume 2, Issue 4, 2010

This book covers the state-of-the-art plus latest research discoveries and applications of intelligent adaptive systems, thus making it a valuable reference for a large community of audiences.

– Raymond Chiong, Swinburne University of Technology, Malaysia
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Editor/Author Biographies
Raymond Chiong is a tenured academic at the School of Computing & Design, Swinburne University of Technology (Sarawak Campus, Malaysia). He is leading the Intelligent Informatics Research Group under the Information & Security Research Lab (iSECURES Lab). He serves as an associate editor for the Interdisciplinary Journal of Information, Knowledge, and Management (IJIKM), and reviews for IEEE Transactions on Evolutionary Computation and Springer’s Memetic Computing. He also serves in the IEEE Computer Society Technical Committee on Intelligent Informatics (TCII), IASTED Technical Committee on Artificial Intelligence, as well as IASTED Technical Committee on Modelling and Simulation. His main research interests include nature-inspired computing and its application to complex systems. He has numerous publications in books, international journals and conference proceedings, and is currently involved with four edited books.
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Editorial Advisory Board
TENTATIVE

Editorial Advisory Board

  • Peter J Bentley, University College London, UK
  • Bob McKay, Seoul National University, Korea
  • Asoke K Nandi, University of Liverpool, UK
  • Antonio J Nebro, University of Málaga, Spain
  • Ralf Salomon, University of Rostock, Germany
  • Lee Seldon, Swinburne University of Technology (Sarawak Campus), Malaysia
  • Dennis Wong, Swinburne University of Technology (Sarawak Campus), Malaysia
  • Clinton Woodward, Swinburne University of Technology, Australia

    List of Reviewers

  • Arturo Hernandez Aguirre, Centro de Investigación en Matemáticas (CIMAT), Mexico
  • José Ramón Cano de Amo, University of Granada, Spain
  • Mariusz Boryczka, University of Silesia, Poland
  • Urszula Boryczka, University of Silesia, Poland
  • Bülent Çatay, Sabanci University, Turkey
  • Eugene Ch’ng, University of Wolverhampton, UK
  • André L V Coelho, University of Fortaleza, Brazil
  • Oscar Cordon, European Centre for Soft Computing, Spain
  • Francisco Herrera, University of Granada, Spain
  • Christian Jacob, University of Calgary, Canada
  • Salvador Garcia Lopez, University of Granada, Spain
  • Rodrigo F de Mello, University of São Paulo, Brazil
  • Sanaz Mostaghim, University of Karlsruhe, Germany
  • Gerard Murray, Port of Melbourne Corporation (PoMC), Australia
  • Akira Namatame, National Defense Academy, Japan
  • Paolo Renna, University of Basilicata, Italy
  • Alexandre Romariz, University of Brasilia (UnB), Brazil
  • Hooman Shayani, University College London, UK
  • Esteban Tlelo-Cuautle, National Institute for Astrophysics, Optics & Electronics, Mexico
  • Klaus G Troitzsch, University of Koblenz-Landau, Germany
  • Andres Upegui, Institute of Reconfigurable and Embedded Digital Systems, Switzerland
  • Thomas Weise, University of Kassel, Germany