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Dergiler / Acta Infologica / 2026 / Volume: 2 Issue: 1

ANFIS Analysis of Wireless Sensor Data with FPGA

Khazal Ahmed0000-0001-8171-5582
Tuncay Ercan0000-0003-0014-5106
Sayfa
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Yayın Tarihi
2018-06-26
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The results obtained in this study have shown that the modified ANFIS algorithm is the convenient choice in terms of speed, accuracy.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Applications related with WSNs may include thousands of separate sensor nodes, production and control data for different industrial sectors.
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Temel Bulgular & Veri:It is important to manage these applications, monitor the network and reprogram the nodes to avoid operational problems.
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Sonuç & Katkı:The results obtained in this study have shown that the modified ANFIS algorithm is the convenient choice in terms of speed, accuracy.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:ANFIS · Neuro-Fuzzy System · FPGA

Özet

Applications related with WSNs may include thousands of separate sensor nodes, production and control data for different industrial sectors. It is important to manage these applications, monitor the network and reprogram the nodes to avoid operational problems. In this study, we propose a smart wireless sensor network using a reconfigurable embedded system of Field-Programmable Gate Arrays (FPGAs) with a soft-core processor. This processor can be programmed dynamically and synthesized to implement the preprocessing of sensed data by ensemble Hybrid Neuro-Fuzzy algorithms such as Adaptive Neuro-Fuzzy Inference System (ANFIS). The first part of the proposed work is based on Matlab software to develop and train the ANFIS algorithm. Two different types of data sets (temperature and humidity) downloaded from Internet have been used in order to make a comparison between the Matlab Toolbox and modified ANFIS algorithm with momentum factor. The results obtained in this study have shown that the modified ANFIS algorithm is the convenient choice in terms of speed, accuracy.

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Bu Makaleye Atıf Yap

Ahmed, K., Ercan, T. (2018). ANFIS Analysis of Wireless Sensor Data with FPGA. Acta Infologica, Volume: 2 Issue: 1. https://doi.org/10.30801/acin.357635

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Kaynakça (23)

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