Optimization of centrifugal pump performance and excitation force based on machine learning and enhanced non-dominated sorting genetic algorithm III

This study addresses the issue of excessive vibration in centrifugal pumps without compromising their performance by employing six machine learning methods. These include the Backpropagation (BP) Neural Network, Feedforward Neural Network (FNN), Support Vector Machine (SVM), Extreme Learning Machine...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 143; S. 110036
Hauptverfasser:	Haoqing, Jiang, Wei, Dong, Sucheng, Li, Fan, He
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.03.2025
Schlagworte:	Axial force Centrifugal pump Genetic algorithm Machine learning Optimization design Centrifugal pump Genetic algorithm Optimization design Axial force Machine learning
ISSN:	0952-1976
Online-Zugang:	Volltext
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