A novel computational intelligence approach to making efficient decisions under parametric uncertainty of practical models and its applications to Industry 4.0-Reference-Cited by-同舟云学术

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A novel computational intelligence approach to making efficient decisions under parametric uncertainty of practical models and its applications to Industry 4.0

Published:2023-06-01 Issue: Volume: Page:7-1-7-40
ISSN:
Container-title:Advanced Signal Processing for Industry 4.0, Volume 1
language:
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Author:

Nechval N A¹,Berzins G¹,Nechval K N²

Affiliation:

1. BVEF Research Institute, University of Latvia

2. Department of Aviation, Transport and Telecommunication Institute

Publisher

IOP Publishing

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel constructing adequate simultaneous predictive limits or confidence intervals for future outcomes via pivotal quantities and ancillary statistics in the case of parametric uncertainty of applied real-life models;Aeronautics and Aerospace Open Access Journal;2024-06-26

2. Novel approach to the smart constructing adequate predictive or confidence decisions for applied mathematical models under parametric uncertainty via pivotal quantities and ancillary statistics;Aeronautics and Aerospace Open Access Journal;2024-04-11

3. New Applications of Computational Intelligence for Constructing Predictive or Optimal Statistical Decisions under Parametric Uncertainty;Automatic Control and Computer Sciences;2023-10

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