Evolvable hardware using context switchable fuzzy inference processor

Lim, M.H., Cao, Q. , Li, J.H. and Ng, W.L. (2004) Evolvable hardware using context switchable fuzzy inference processor. IEE Proceedings: Computers and Digital Techniques, 151(4), pp. 301-311. (doi: 10.1049/ip-cdt:20040666)

Abstract

To achieve real-time performance for some applications of fuzzy systems it is necessary to realise the inference module in hardware. By the same token, real-time applications of evolvable fuzzy hardware systems require the realisation of systems as hardware that can be conveniently reconfigured. A good example of such a scenario is illustrated for the case of asynchronous transfer mode cell scheduling. Since the domain rule-set is expected to evolve during normal operation, it is imperative that the hardware supporting the fuzzy reasoning should be easily reconfigurable. To address this requirement a reconfigurable fuzzy inference chip (RFIC) is described that supports online rule-set reconfigurability. The overall methodology of designing evolvable fuzzy hardware systems based on an RFIC as the core inference processor is presented. The RFIC is an in-system context-switchable inference processor for evolvable fuzzy hardware. Hardware architectural details of the RFIC are presented and its performance simulated to verify its functionality and applicability.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Cao, Dr Qi
• Authors: Lim, M.H., Cao, Q., Li, J.H., and Ng, W.L.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: IEE Proceedings: Computers and Digital Techniques
• Publisher: Institution of Engineering and Technology
• ISSN: 1530-2387
• ISSN (Online): 1359-7027