Special Session on Hardware Architectures for Genetic, Neural and Fuzzy
Systems
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. 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: 31 January 2006
- Decision Notification: 15 March 2006
- Camera-Ready Submission: 15 April 2006
Authors of accepted papers in this special session will be asked to extend them for possible inclusion in a planned special issue of the International Journal Neurocomputing
Special Session Organizers:
- Nadia Nedjah Electronics Engineering & Telecommunications Faculty of Engineering State University of Rio de Janeiro http:
- Luiza de Macedo Mourelle Systems Engineering & Computation Faculty of Engineering State University of Rio de Janeiro
The 2006 IEEE Congress on Evolutionary Computation (CEC) is part of the
2006 IEEE World Congress on Computational Intelligence (WCCI --