Integration of Adaptive Neuro Fuzzy Inference Systems and principal component analysis for the control of tertiary scale formation on tinplate at a hot mill

作者：

Highlights：

• Merger of principal components, Poisson processes, likelihoods and fuzzy networks.

• Three PC inputs to an ANFIS identified conditions leading to small scale counts.

• Minimum scale occurred when the PC’s were less than −0.1, 0.81 and 0.48 respectively.

• These PC’s corresponded to specific hot mill temperatures and slab chemistries.

摘要

•Merger of principal components, Poisson processes, likelihoods and fuzzy networks.•Three PC inputs to an ANFIS identified conditions leading to small scale counts.•Minimum scale occurred when the PC’s were less than −0.1, 0.81 and 0.48 respectively.•These PC’s corresponded to specific hot mill temperatures and slab chemistries.

论文关键词：Scale,Hot mill,Fuzzy logic,Neural networks,Adaptive Neuro Fuzzy Inference System,Principal components

论文评审过程：Available online 24 May 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.05.020