Prediction modeling of cigarette ventilation rate based on genetic algorithm backpropagation (GABP) neural network

The ventilation rate of cigarettes is an important indicator that affects the internal quality of cigarettes. When producing cigarettes, the unit may experience unstable ventilation rates, which can lead to a decrease in cigarette quality and pose certain risks to smokers. By establishing the ventil...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	EURASIP journal on advances in signal processing Jg. 2024; H. 1; S. 25 - 14
Hauptverfasser:	Wei, Jiaxin, Wang, Zhengwei, Li, Shufang, Wang, Xiaoming, Xu, Huan, Wang, Xiushan, Yao, Sen, Song, Weimin, Wang, Youwei, Mei, Chao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 22.02.2024 Springer Nature B.V SpringerOpen
Schlagworte:	Artificial neural networks Back propagation Back propagation networks BP neural network Cigarettes Design improvements Design parameters Engineering Genetic algorithms Genetics algorithm Multiple linear regression Neural networks Prediction models Predictions Quantum Information Technology Signal Processing and Machine Learning in Autonomous Systems Signal,Image and Speech Processing Spintronics Stability Technical services Tobacco Ventilation Ventilation rate Tobacco BP neural network Genetics algorithm Multiple linear regression Ventilation rate
ISSN:	1687-6180, 1687-6172, 1687-6180
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!