Configurable Multi-Layer Perceptron-Based Soft Sensors on Embedded Field Programmable Gate Arrays: Targeting Diverse Deployment Goals in Fluid Flow Estimation

Configurable Multi-Layer Perceptron-Based Soft Sensors on Embedded Field Programmable Gate Arrays: Targeting Diverse Deployment Goals in Fluid Flow Estimation

This study presents a comprehensive workflow for developing and deploying Multi-Layer Perceptron (MLP)-based soft sensors on embedded FPGAs, addressing diverse deployment objectives. The proposed workflow extends our prior research by introducing greater model adaptability. It supports various confi...

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Bibliographic Details
Main Authors: Tianheng Ling, Chao Qian, Theodor Mario Klann, Julian Hoever, Lukas Einhaus, Gregor Schiele
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
Internet of Things
embedded systems
fluid flow estimation
soft sensors
quantized neural networks
quantization-aware training
Online Access:https://www.mdpi.com/1424-8220/25/1/83
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