Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes

IEEE Transactions on Neural Networks and Learning Systems(2022)

Cited 8|Views13
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Abstract
A key characteristic of biological systems is the ability to update the memory by learning new knowledge and removing out-of-date knowledge so that intelligent decision can be made based on the relevant knowledge acquired in the memory. Inspired by this fundamental biological principle, this article proposes a multi-output selective ensemble regression (SER) for online identification of multi-outp...
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Key words
Adaptation models,Predictive models,Computational modeling,Data models,Biological system modeling,Biological systems,Computational complexity
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