A nonlinear industrial soft sensor modeling method based on locality preserving stochastic configuration network with utilizing unlabeled samples

Research article (ISA Transactions, 2023) · cited 29× · AI/ML
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A nonlinear industrial soft sensor modeling method based on locality preserving stochastic configuration network with utilizing unlabeled samples

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A nonlinear industrial soft sensor modeling method based on locality preserving stochastic configuration network with utilizing unlabeled samples is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A nonlinear industrial soft sensor modeling method based on locality preserving stochastic configuration network with utilizing unlabeled samples. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-nonlinear-industrial-soft-sensor-modeling-method-based-on-locality-preserving-stochastic-configuration-network-with-ut
MLA “A nonlinear industrial soft sensor modeling method based on locality preserving stochastic configuration network with utilizing unlabeled samples.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-nonlinear-industrial-soft-sensor-modeling-method-based-on-locality-preserving-stochastic-configuration-network-with-ut.
BibTeX @misc{4ortxyz_a-nonlinear-industrial-soft-sensor-modeling-method-based-on-locality-preserving-stochastic-configuration-network-with-ut_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A nonlinear industrial soft sensor modeling method based on locality preserving stochastic configuration network with utilizing unlabeled samples}}, year = {2026}, url = {https://4ort.xyz/entity/a-nonlinear-industrial-soft-sensor-modeling-method-based-on-locality-preserving-stochastic-configuration-network-with-ut}, note = {Accessed: 2026-05-24}}
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