Temperature compensation of a hybrid algorithm optimized neural network: Application to a 64-channel electronic pressure scanner

IF 1.3 4区工程技术 Q4 CHEMISTRY, ANALYTICAL

Instrumentation Science & Technology Pub Date : 2024-07-22 DOI:10.1080/10739149.2024.2380453

Huan Wang, Pan Liu, Yijun Zou, Zongyu Zhang, Qinghua Zeng

引用次数: 0

Abstract

As a high-precision instrument, electronic pressure scanners have a crucial role in multi-point pressure measurements. However, the internal piezoresistive components drift with temperature, and th...

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混合算法优化神经网络的温度补偿：应用于 64 通道电子压力扫描仪

作为一种高精度仪器，电子压力扫描仪在多点压力测量中起着至关重要的作用。然而，内部压阻元件会随着温度的变化而漂移，这就给测量带来了困难。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Instrumentation Science & Technology 工程技术-分析化学

CiteScore

3.50

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Instrumentation Science & Technology is an internationally acclaimed forum for fast publication of critical, peer reviewed manuscripts dealing with innovative instrument design and applications in chemistry, physics biotechnology and environmental science. Particular attention is given to state-of-the-art developments and their rapid communication to the scientific community. Emphasis is on modern instrumental concepts, though not exclusively, including detectors, sensors, data acquisition and processing, instrument control, chromatography, electrochemistry, spectroscopy of all types, electrophoresis, radiometry, relaxation methods, thermal analysis, physical property measurements, surface physics, membrane technology, microcomputer design, chip-based processes, and more. Readership includes everyone who uses instrumental techniques to conduct their research and development. They are chemists (organic, inorganic, physical, analytical, nuclear, quality control) biochemists, biotechnologists, engineers, and physicists in all of the instrumental disciplines mentioned above, in both the laboratory and chemical production environments. The journal is an important resource of instrument design and applications data.