Low-Latency Inference of FPGA-Based ANFIS for Real-Time Control Systems

Authors

Yukinobu Hoshino (ORCID: https://orcid.org/0000-0001-5285-8007)
Namal Rathnayake (ORCID: https://orcid.org/0000-0002-5235-8552)
M.Si Herni Utami

Institutions

Japan Agency for Marine-Earth Science and Technology (JP)
Kochi University of Technology (JP)

Publication Details

Journal: Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Published: 2025-11-14
DOI: https://doi.org/10.3156/jsoft.37.4_695
Primary Topic: Model Reduction and Neural Networks
Type: article
Field-Weighted Citation Impact: 0.00

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article

Low-Latency Inference of FPGA-Based ANFIS for Real-Time Control Systems

Yukinobu Hoshino, Namal Rathnayake, M.Si Herni Utami

Nov 14, 2025

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics

Model Reduction and Neural Networks

article

Low-Latency Inference of FPGA-Based ANFIS for Real-Time Control Systems

Yukinobu Hoshino, Namal Rathnayake, M.Si Herni Utami

November 14, 2025article en

Abstract

No abstract available for this paper.

Journal of Japan Society for Fuzzy Theory and Intelligent InformaticsVol. 37(4)

Japan Agency for Marine-Earth Science and Technology (JP), Kochi University of Technology (JP)

Openalex Percentile: Top 72%

Model Reduction and Neural Networks

DOI Open Access PDF OpenAlex

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Low-Latency Inference of FPGA-Based ANFIS for Real-Time Control Systems — Yukinobu Hoshino, Namal Rathnayake, et al. · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics (2025) | TGRS Research Map | TGRS