Performance analysis of simplified Fuzzy ARTMAP and Probabilistic Neural Networks for identifying structural damage growth

Mario A. de Oliveira; Daniel J. Inman

doi:10.1016/j.asoc.2016.12.020

Performance analysis of simplified Fuzzy ARTMAP and Probabilistic Neural Networks for identifying structural damage growth

Mario A. de Oliveira^*
, Daniel J. Inman

^*Corresponding author for this work

Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso
University of Michigan, Ann Arbor

Research output: Contribution to journal › Article › peer-review

36 Citations (SciVal)

Original language	English
Pages (from-to)	53-63
Number of pages	11
Journal	Applied Soft Computing
Volume	52
DOIs	https://doi.org/10.1016/j.asoc.2016.12.020
Publication status	Published (VoR) - 1 Mar 2017

Keywords

Composite materials
Damage assessment
Electromechanical impedance
PZT
SHM

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10.1016/j.asoc.2016.12.020

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title = "Performance analysis of simplified Fuzzy ARTMAP and Probabilistic Neural Networks for identifying structural damage growth",

keywords = "Composite materials, Damage assessment, Electromechanical impedance, PZT, SHM",

author = "\{de Oliveira\}, \{Mario A.\} and Inman, \{Daniel J.\}",

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volume = "52",

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AU - de Oliveira, Mario A.

AU - Inman, Daniel J.

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KW - Composite materials

KW - Damage assessment

KW - Electromechanical impedance

KW - PZT

KW - SHM

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U2 - 10.1016/j.asoc.2016.12.020

DO - 10.1016/j.asoc.2016.12.020

M3 - Article

AN - SCOPUS:85007384070

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VL - 52

SP - 53

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JO - Applied Soft Computing

JF - Applied Soft Computing

ER -

Performance analysis of simplified Fuzzy ARTMAP and Probabilistic Neural Networks for identifying structural damage growth

Keywords

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