CFP: Computational Intelligence Modeling Techniques and Applications

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Proposals Submission Deadline: 6/15/2006
Full Chapters Due: 9/15/2006
Computational Intelligence Modeling Techniques and Applications
A book edited by Ranadhir Ghosh, Moumita Ghosh, John Yearwood and
Sidhivinayak Kulkarni, University of Ballarat, Australia
Computational intelligence (CI) is an integrated science involving
fundamental and applied research that covers broadly the areas of
evolutionary computing, fuzzy computing, neuro-computing or various
types of hybrid models combining any of these. CI is rather an
interdisciplinary intuitive synergism between those and many more at the
verge of computer sciences, mathematics and engineering. Learning is an
essential process for CI modelling. A CI-based approach is mainly a
black box solution for solving problems that mainly consists of two
major steps - 1) Finding a suitable model for the problem, 2) Optimizing
the model using the process of learning. The process can be iterative
depending on the acceptance level of performance/accuracy obtained by
the optimization process. Although the name "black box modelling" is
sometimes irksome among the scientific community, it should be noted
here that the nature of certain problems does not permit a white box
solution for solving the problem. There are many instances where the
system dynamics or its nature cannot be ascertained, but building a
model that can generate the same pattern as the real world model can be
a huge benefit in understanding many aspects of the process or system.
The Overall Objective of the Book
This book will address state-of-the art solutions for many real-world
problems in business, science and the engineering domain. It delivers a
highly-readable and fully-systematic approach with a clear, sound and
comprehensive analysis and design practices, using CI for modelling and
solving in areas such as computer vision, manufacturing, business,
information retrieval, biology and robotics. This book provides
state-of-the art solutions in many domains, each containing selected
cutting-edge modelling solutions for those areas. Through reading
various CI modelling techniques in a variety of real-world applications,
the reader will find the rationale of such approaches, as well as a good
grasp of this emerging and exciting field. We believe that this book
will further enhance the understanding of CI and help the readers extend
the idea of modelling using a CI approach for many more real-world
problems that are impossible to be compiled in one volume of a text book.
The Target Audience
*University, Industry and government organisation researchers interested
in CI
*Management professionals of information technology staff and industry
*Other suitably-informed members of the community
Recommended topics include, but are not limited to, the following:
*    Computational learning theory
*    CI applications in computer vision
*    CI applications in manufacturing
*    CI applications in business
*    CI applications in Information retrieval
*    CI applications in biology
*    CI applications in robotics
*    Integrations of neural networks with expert systems
*    Integration of different learning paradigms
(supervised/unsupervised/reinforcement etc.)
*    Integrations of neural networks with fuzzy systems
*    Hybridization of soft computing with other machine learning
techniques:support vector machines, rough sets, Bayesian networks,
probabilistic reasoning, statistical learning
*    Incorporating CI techniques with Web and internet technologies
*    Evolutionary computation
Researchers and practitioners are invited to submit on or before June
15, 2006, a 2-5 page manuscript proposal clearly explaining the mission
and concerns of the proposed chapter. Authors of accepted proposals will
be notified by July 10, 2006, about the status of their proposals and
sent chapter organizational guidelines. Full chapters are expected to be
submitted by September 15, 2006. All submitted chapters will be reviewed
on a double-blind review basis. The book is scheduled to be published by
Idea Group Inc., publisher of the Idea Group Publishing, Information
Science Publishing, IRM Press, CyberTech Publishing and Idea Group
Reference imprints.
Inquiries and submissions can be forwarded electronically (Word
document) or by mail to:
Dr. Ranadhir Ghosh
School of Information Technology & Mathematical Sciences
University of Ballarat
PO Box - 663, Ballarat, Victoria - 3353, Australia
Tel.: +61 3 53279074 * Fax: +61 3 53279966 * GSM: +

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