High-Speed Fuzzy Inference Processor Using Active Rules Identification
- Shih-Hsu Huang 0, Shi-Zhi Liu, Yi-Rung Chen, Jian-Yuan Lai
- Corresponding Author
- Shih-Hsu Huang
0Chung Yuan Christian University
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- https://doi.org/10.2991/jcis.2006.279How to use a DOI?
- Fuzzy Inference, Fuzzy Rules, Fuzzy Processor, Hardware Design
- Once the input values are given, the active rules in a fuzzy inference execution have been determined. Based on the observation, our approach is to identify the active rules before fuzzy inference execution. To achieve this goal, our architecture provides the following two mechanisms: (1) a mechanism to ignore the non-active rules before fuzzy inference execution; and (2) a mechanism to arrange the active rules for fuzzy inference execution. The proposed architecture has been implemented using a 0.35μm cell library. Implementation data show that, if the number of active rules is only 4, the inference speed can achieve 23.755 MFLIPS. To the best of our knowledge, our approach is the fastest hardware implementation.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Shih-Hsu Huang AU - Shi-Zhi Liu AU - Yi-Rung Chen AU - Jian-Yuan Lai PY - NaN/NaN DA - NaN/NaN TI - High-Speed Fuzzy Inference Processor Using Active Rules Identification BT - 9th Joint International Conference on Information Sciences (JCIS-06) PB - Atlantis Press UR - https://doi.org/10.2991/jcis.2006.279 DO - https://doi.org/10.2991/jcis.2006.279 ID - HuangNaN/NaN ER -