Design of Cu-Doped SnO2 Thick-Film Gas Sensor for Methanol Using ANN Technique

Amit Gupta; Shashi Kant Dargar; A.V. Nageswara Rao; B. Raghavaiah

doi:10.1007/978-981-19-4863-3_20

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Design of Cu-Doped SnO2 Thick-Film Gas Sensor for Methanol Using ANN Technique

Amit Gupta Shashi Kant Dargar A.V. Nageswara Rao B. Raghavaiah

Year: 2022 Lecture notes in networks and systems Pages: 207-215 Publisher: Springer International Publishing

DOI: 10.1007/978-981-19-4863-3_20

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Keywords:

Sensitivity (control systems) Doping Artificial neural network Tin oxide Backpropagation Methanol Gradient descent Materials science Algorithm Computer science Electronic engineering Analytical Chemistry (journal) Biological system Optoelectronics Engineering Machine learning Chemistry Chromatography

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Gas Sensing Nanomaterials and Sensors

Physical Sciences → Engineering → Electrical and Electronic Engineering

Analytical Chemistry and Sensors

Physical Sciences → Chemical Engineering → Bioengineering

Advanced Chemical Sensor Technologies

Physical Sciences → Engineering → Biomedical Engineering

Design of Cu-Doped SnO2 Thick-Film Gas Sensor for Methanol Using ANN Technique

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