A High Speed Fuzzy Inference Processor with Dynamic Analysis and Scheduling Capabilities
| Autor: | Shih-Hsu Huang, Jian-Yuan Lai |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Adaptive neuro fuzzy inference system
Theoretical computer science Fuzzy rule Computer science Fuzzy set Inference Fuzzy control system Fuzzy logic Scheduling (computing) Computer engineering Artificial Intelligence Hardware and Architecture Computer Vision and Pattern Recognition Electrical and Electronic Engineering Software |
| Zdroj: | IEICE Transactions on Information and Systems. :2410-2416 |
| ISSN: | 1745-1361 0916-8532 |
| DOI: | 10.1093/ietisy/e88-d.10.2410 |
| Popis: | The most obvious architectural solution for high-speed fuzzy inference is to exploit the temporal parallelism and spatial parallelism inherited in a fuzzy inference execution. However, the active rules in a fuzzy inference execution are often only a small part of the total rules. In this paper, we present a new architecture, which uses less hardware resources by discarding non-active rules in the earlier pipeline stage. Implementation data demonstrates that the proposed architecture achieves very good results in terms of the inference speed and the chip area. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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