Call for papers on Hardware Architectures for Genetic, Neural and Fuzzy Systems

7th. International Conference on Intelligent System Design and
Applications
ISDA 2007, 22-24 October, Rio de Janeiro, Brazil
http://www.isda07.eng.uerj.br

Workshop on Hardware Architectures for Genetic, Neural and Fuzzy
Systems
http://www.isebis.eng.uerj.br/HARD-GNF.html

Genetic Algorithms (GA), Artificial Neural Networks (ANN) as well as
Fuzzy Systems (FS) are becoming omnipresent in almost every
intelligent system design. Just to name few, engineering, control,
economics and forecasting are some of the scientific fields that enjoy
the use of ANN and FS. Unfortunately, the majority of the applications
is complex and so requires a large computational effort to yield
useful and practical results. Therefore, dedicated hardware for
evolutionary, neural and fuzzy computation is becoming a key issue for
designers. With the spread of reconfigurable hardware such as FPGAs
and FPAAs, digital as well as analog hardware implementations of such
computation become cost-effective.

The focus of this special session will be on all aspects of for high-
speed hardware implementations for genetic algorithms, neural networks
and fuzzy controllers. Papers describing hybrid implementations using
co-design methodology are also welcome. The main topics can be listed
as follows:

Topics include, but are not limited to:

* Hardware implementations of genetic algorithms;
* Hardware implementations of Neural Networks;
* Hardware implementations of fuzzy systems;
* Hardware/Software co-design of GA;
* Hardware/Software co-design of ANNs;
* Hardware/Software co-design of FSs;
* Hardware for hybrid systems

Important dates:

* Paper Submission: 16 March 2007
* Decision Notification: 1 June 2007
* Camera-Ready Submission: 15 June 2007

To submit a paper (6 pages using IEEE format) to this workshop, please
browse the ISDA07 submission page.

Workshop Organizers:

Nadia Nedjah
Electronics Engineering & Telecommunications
Faculty of Engineering
State University of Rio de Janeiro


Luiza de Macedo Mourelle
Systems Engineering & Computation
Faculty of Engineering
State University of Rio de Janeiro