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Engineering Applications of Neural Networks - 11th International Conference, EANN 2009, London, UK, August 27-29, 2009, Proceedings (Paperback, 2009 ed.)
Loot Price: R2,925
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Engineering Applications of Neural Networks - 11th International Conference, EANN 2009, London, UK, August 27-29, 2009, Proceedings (Paperback, 2009 ed.)
Series: Communications in Computer and Information Science, 43
Expected to ship within 10 - 15 working days
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A cursory glance at the table of contents of EANN 2009 reveals the
am- ing range of neural network and related applications. A random
but revealing sample includes: reducing urban concentration,
entropy topography in epil- tic electroencephalography,
phytoplanktonic species recognition, revealing the structure of
childhood abdominal pain data, robot control, discriminating angry
and happy facial expressions, ?ood forecasting, and assessing
credit worthiness. The diverse nature of applications demonstrates
the vitality of neural comp- ing and related soft computing
approaches, and their relevance to many key contemporary
technological challenges. It also illustrates the value of EANN in
bringing together a broad spectrum of delegates from across the
world to learn from each other's related methods. Variations and
extensions of many methods are well represented in the proceedings,
ranging from support vector machines, fuzzy reasoning, and Bayesian
methods to snap-drift and spiking neurons. This year EANN accepted
approximately 40% of submitted papers for fu- length presentation
at the conference. All members of the Program Committee were asked
to participate in the reviewing process. The standard of
submissions was high, according to the reviewers, who did an
excellent job. The Program and Organizing Committees thank them.
Approximately 20% of submitted - pers will be chosen, the best
according to the reviews, to be extended and - viewedagainfor
inclusionin a specialissueofthe journalNeural Computing and
Applications. We hope that these proceedings will help to stimulate
further research and development of new applications and modes of
neural computing.
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