Neural networks with upper and lower bound constraints and its application on industrial soft sensing modeling with missing values

Research article (Knowledge-Based Systems, 2022) · cited 19× · AI/ML
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Neural networks with upper and lower bound constraints and its application on industrial soft sensing modeling with missing values

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Neural networks with upper and lower bound constraints and its application on industrial soft sensing modeling with missing values is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Neural networks with upper and lower bound constraints and its application on industrial soft sensing modeling with missing values. Retrieved May 24, 2026, from https://4ort.xyz/entity/neural-networks-with-upper-and-lower-bound-constraints-and-its-application-on-industrial-soft-sensing-modeling-with-miss
MLA “Neural networks with upper and lower bound constraints and its application on industrial soft sensing modeling with missing values.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/neural-networks-with-upper-and-lower-bound-constraints-and-its-application-on-industrial-soft-sensing-modeling-with-miss.
BibTeX @misc{4ortxyz_neural-networks-with-upper-and-lower-bound-constraints-and-its-application-on-industrial-soft-sensing-modeling-with-miss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Neural networks with upper and lower bound constraints and its application on industrial soft sensing modeling with missing values}}, year = {2026}, url = {https://4ort.xyz/entity/neural-networks-with-upper-and-lower-bound-constraints-and-its-application-on-industrial-soft-sensing-modeling-with-miss}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Neural networks with upper and lower bound constraints and its application on industrial soft sensing modeling with missing values — https://4ort.xyz/entity/neural-networks-with-upper-and-lower-bound-constraints-and-its-application-on-industrial-soft-sensing-modeling-with-miss (retrieved 2026-05-24)

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