
© copyright OTH Regensburg

© copyright Frank Herrmann

© copyright Frank Herrmann

© copyright Frank Herrmann

© copyright Frank Herrmann

© copyright Frank Herrmann
|
In today’s
world, there is an ever-increasing need for intelligent systems, systems
that can learn and adapt to a changing environment. In order to achieve
this, intelligent systems usually incorporate or are based on models or
simulations of the environment. The intelligent system track will provide
a forum for the presentation and discussion of recent research and
applications of simulations for intelligent systems. It aims to encourage
and to facilitate interdisciplinary communication amongst university
researcher and industry professionals applying techniques such as
evolutionary and genetic algorithms, fuzzy logic and artificial neural
network models.
Topics of
interest include but are not limited to:
-
computational intelligence and cognitive systems
-
fuzzy
systems
-
evolutionary and genetic algorithms
-
artificial neural networks
-
intelligent machine learning systems
-
rule-based systems
-
case-based reasoning
-
methodologies, models and algorithms, tools
Papers
dealing with the applications of computational intelligence in a widest
sense are welcome but are not limited to:
-
Classification
-
data
analysis
-
decision support
-
forecasting
-
knowledge acquisition
-
planning
-
pre-processing of data
-
process control
-
robotics
-
speech and image recognition
-
web
intelligence
-
hybrid systems which combine different techniques
-
simulation tools for research, education, development
-
neural networks models of systems
-
optimization
interdisciplinary applications using soft computing methods.
|