Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes

The aim of this Special Issue is to explore the multifaceted aspects of data-driven intelligent modeling and optimization algorithms for industrial processes. The main goals are to harness the power of data to improve control, decision making, and parameter optimization, and to drive industrial syst...

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Bibliographic Details

Format:	Online
Language:	English
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2026
Subjects:	data-driven modeling industrial processes machine learning algorithms optimization algorithms
Online Access:	https://directory.doabooks.org/handle/20.500.12854/170648
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