Intelligent Systems for Machine Olfaction: Tools and Methodologies

Intelligent Systems for Machine Olfaction: Tools and Methodologies

Evor L. Hines, Mark S. Leeson
Indexed In: SCOPUS
Release Date: March, 2011|Copyright: © 2011 |Pages: 354
DOI: 10.4018/978-1-61520-915-6
ISBN13: 9781615209156|ISBN10: 1615209158|EISBN13: 9781615209163
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Description & Coverage
Description:

Intelligent systems are systems that, given some data, are able to learn from that data. This makes it possible for complex systems to be modeled and/or for performance to be predicted. In turn, intelligent systems’ functionality can be controlled through learning/training, without the need for a priori knowledge of their structure.

Intelligent Systems for Machine Olfaction: Tools and Methodologies introduces new, state-of-the art applications of intelligent systems to researchers and developers in the area of machine olfaction. Readers will benefit from in-depth analyses of fundamental theories, potential trends, and key literature in the field, making this work both a source of application examples that can be readily implemented and a practical guide for the implementation of solutions in other scenarios.

Coverage:

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

  • Computational Intelligence
  • Evolutionary Algorithms
  • Gas dispersal models
  • Gas distribution modeling
  • Gas source localization
  • Image content description techniques
  • Kernel methods
  • Mobile robot
  • Sensor selection
  • Teleolfaction
Reviews & Statements

Researchers in the Machine Olfaction community, as well as users wishing to know more about the underpinning technologies, will find this book to provide a useful update in the latest state of the art.

– Santiago Marco, Universitat de Barcelona and Institute for Bioengineering of Catalonia, Spain

Engineers discuss some of the fundamental and generic issues that underpin the application of intelligent systems to machine smelling, then present a series of specific applications to a range of olfaction tasks across industrial, medical, and horticultural topics.

– Book News, Reference - Research Book News - August 2011
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Editor/Author Biographies
Evor L. Hines joined the School of Engineering at Warwick in 1984. He was promoted to Reader in 2005 and to a personal chair in 2009. He obtained his DSc (Warwick) in 2007 and is a Fellow of both the Institute of Engineering and Technology and the Higher Education Academy, in addition to being a Chartered Engineer. His main research interest is concerned with intelligent systems and their applications. Most of the work has focused on artificial neural networks, genetic algorithms, fuzzy logic, neurofuzzy systems and genetic programming. Typical application areas include, inter alia, intelligent sensors such as the electronic nose, medicine, non-destructive testing, computer vision, and telecommunications. He has co-authored in excess of 230 articles and supervised over 30 research students in addition to currently leading the Information and Communication Technologies Research Group in the School of Engineering.
Mark S. Leeson received the degrees of BSc and BEng with First Class Honors in Electrical and Electronic Engineering from the University of Nottingham, UK, in 1986. He then obtained a PhD in Engineering from the University of Cambridge, UK, in 1990. From 1990 to 1992 he worked as a Network Analyst for National Westminster Bank in London. After holding academic posts in London and Manchester, in 2000 he joined the School of Engineering at Warwick, where he is now an Associate Professor. His major research interests are coding and modulation, ad hoc networking, optical communication systems and evolutionary optimization. To date, Dr. Leeson has over 180 publications and has supervised nine successful research students. He is a Senior Member of the IEEE, a Chartered Member of the UK Institute of Physics, and a Fellow of the UK Higher Education Academy.
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