Temperature Compensation for Semiconductor Gas Sensors Based on Whale Optimization Algorithm–Least-Squares Support Vector Machine

A whale optimization algorithm–optimized least-squares support vector machine (WOA-LSSVM) temperature compensation model is proposed to compensate for the temperature drift of the output signal of semiconductor gas sensors in practical applications. The whale optimization algorithm is used to optimi...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Sensors and materials Ročník 35; číslo 8; s. 2933
Hlavní autori:	Xu, Yunde, Cheng, Zhenzhen, He, Guofeng, Liang, Chengwu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Tokyo MYU Scientific Publishing Division 24.08.2023
Predmet:	Algorithms Artificial neural networks Back propagation networks Drift Error reduction Gas sensors Kernel functions Least squares Mathematical models Neural networks Optimization algorithms Parameters Particle swarm optimization Regularization Sensors Support vector machines Temperature compensation
ISSN:	0914-4935, 2435-0869
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!