The architecture of a general purpose fuzzy logic coprocessor and its implementation on an FPGA based System on Chip is described. Thanks to its ability to support a fast dynamic reconfiguration of all its parameters, it is suitable for implementing adaptive fuzzy logic algorithms, or for the execution of different fuzzy algorithms in a time sharing fashion. The high throughput obtained using a pipelined structure and the efficient data organization allows significant increase of the computational capabilities strongly desired in applications with hard real-time constraints.
|Title of host publication||Computational Intelligence and Bioinspired Systems 8th International Workshop on Artificial Neural Networks, IWANN 2005 Vilanova i la Geltru; Spain; 8 June 2005 through 10 June 2005 Proceedings|
|Number of pages||8|
|Publication status||Published - 2005|
|Name||LECTURE NOTES IN COMPUTER SCIENCE|
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Giaconia, G. C., & Di Stefano, A. (2005). An FPGA-Based Adaptive Fuzzy Coprocessor. In Computational Intelligence and Bioinspired Systems 8th International Workshop on Artificial Neural Networks, IWANN 2005 Vilanova i la Geltru; Spain; 8 June 2005 through 10 June 2005 Proceedings (pp. 590-597). (LECTURE NOTES IN COMPUTER SCIENCE).