Adaptive network-based fuzzy inference system with leave-one-out cross-validation approach for prediction of surface roughness

DOI10.1016/j.apm.2010.07.048zbMath1211.93096OpenAlexW2081033457MaRDI QIDQ534860

Ning Wang, Minggang Dong

Publication date: 10 May 2011

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2010.07.048

zbMATH Keywords

surface roughnessadaptive network-based fuzzy inference system (ANFIS)end milling processleave-one-out cross-validation (LOO-CV)

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Application models in control theory (93C95)

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Uses Software

• ANFIS

Cites Work

• Training ANFIS as an identifier with intelligent hybrid stable learning algorithm based on particle swarm optimization and extended Kalman filter

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