Paraconsistent Artificial Neural Network for Structuring Statistical Process Control in Electrical Engineering

DOI10.1007/978-3-319-40418-9_6zbMath1429.93221OpenAlexW2485052602MaRDI QIDQ5213778

Clovis Misseno da Cruz, Alexandre Rocco, Luís Fernando P. Ferrara, Jair Minoro Abe, João Inácio da Silva Filho, Dorotéa Vilanova Garcia, Alexandre Shozo Onuki, Mauricio Conceição Mario

Publication date: 4 February 2020

Published in: Towards Paraconsistent Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-40418-9_6

zbMATH Keywords

statistical process controlparaconsistent annotated logic

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Applications of optimal control and differential games (49N90) Digital control/observation systems (93C62) Stochastic games, stochastic differential games (91A15)

Cites Work

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• Paraconsistent intelligent-based systems. New trends in the applications of paraconsistency
• Introduction to annotated logics. Foundations for paracomplete and paraconsistent reasoning
• Bootstrapping moving average models
• The Paraconsistent Logics PJ

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