International Seminar on Computational Intelligence 2005

Event Detail

General Information
Dates:
Monday, October 17, 2005 - Tuesday, October 18, 2005
Days of Week:
Monday
Tuesday
Target Audience:
Academic and Practice
Location:
La Salle University
Sponsor:
Event Details/Other Comments:

Description
The International Seminar will consist of papers describing research
work that integrate different Computational Intelligence (CI)
methodologies for the development of hybrid intelligent systems. CI
methodologies at the moment include (at least) Neural Networks, Fuzzy
Logic, Genetic Algorithms, Intelligent Agents, and Chaos Theory. The use
of intelligent techniques, like neural networks, fuzzy logic and genetic
algorithms, for real-world problems is now widely accepted. However,
still the performance of any of these techniques can be improved, in
many situations, by using them in conjunction with other techniques. For
example, genetic algorithms can be used to optimize the design of a
neural network for time series prediction, or fuzzy logic can be used to
combine the information from expert neural modules, just to mention two
cases. Also, mathematical methods, like the ones from Chaos and Fractal
Theory, can be used in conjunction with intelligent techniques to
improve the performance of hybrid systems for real-world applications.
The international seminar will consist of papers addressing these hybrid
approaches and similar ones, either theoretically or for real-world
applications. Also, distinguished internationally recognized invited
speakers will give lectures on the main areas of CI. The seminar is
intended primarily for researchers and graduate students working on
these research areas.
Topics of interest (not limited to)
1. Successful new applications to real-world problems of CI
techniques that are found to achieve better results than conventional
techniques. In this case, special attention should be given to the
metrics used to compare CI techniques with conventional ones.
2. Developments of innovative hybrid methods combining CI
techniques and conventional techniques. In this case, the problems to be
considered in these papers may not be as complex as the ones in the
previous point, but the authors have to explain very carefully how their
proposed method could be used, in the future, to solve real-world problems.
3. Papers considering original research on new CI architectures,
models or techniques are also welcome, but the authors would have to
make a detailed description of how their proposed approach is compared
with other related approaches.