Evaluation strategy and mass balance for making decision about the amount of aluminum fluoride addition based on superheat degree

DOI10.3934/JIMO.2018169zbMath1449.93188OpenAlexW2896461176WikidataQ128982008 ScholiaQ128982008MaRDI QIDQ781068

Xiaofang Chen, Zhaohui Zeng, Weichao Yue, Yongfang Xie, Wei Hua Gui

Publication date: 16 July 2020

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2018169

zbMATH Keywords

evaluationsuperheat degreeAlF\(_3\) addition amountaluminum reductionextended naïve Bayesian classifier

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Multivariable systems, multidimensional control systems (93C35) Frequency-response methods in control theory (93C80)

Cites Work

• Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis
• A bandwidth selection for kernel density estimation of functions of random variables
• Smoothed stationary bootstrap bandwidth selection for density estimation with dependent data
• Time delayed optimal control problems with multiple characteristic time points: computation and industrial applications
• The influence function of the optimal bandwidth for kernel density estimation
• A Review and Comparison of Bandwidth Selection Methods for Kernel Regression

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