Multistage artificial neural network in structural damage detection

Multistage artificial neural network in structural damage detection

Show other versions (1)

Thesis (PhD. (Civil Engineering))

Bibliographic Details
Main Author:	Goh, Lyn Dee
Format:	Thesis
Language:	English
Published:	Universiti Teknologi Malaysia 2024
Subjects:	Structural failures—Prevention Neural networks (Computer science)—Computer programs Vibrated concrete—Testing
Online Access:	https://openscience.utm.my/handle/123456789/1314

Similar Items

Multistage artificial neural network in structural damage detection [electronic resource] /
by: Goh, Lyn Dee, 1980- author
Published: (2015)

Multistage artificial neural network in structural damage detection /
by: Goh, Lyn Dee, 1980- author, et al.
Published: (2015)

Multistage artificial neural network in structural damage detection
by: Goh, Lyn Dee
Published: (2015)

A comparison of artificial neural network learning algorithms for vibration-based damage detection
by: Goh, Lyn Dee, et al.
Published: (2011)

Fault Diagnostic Using Artificial Neural Network /
by: Abdullah Asuhaimi Mohd. Zin, 1952- 602136, et al.
Published: (2008)

Probabilistic approach in assessing structural damage using multistage artificial neural network using static and dynamic data
by: Bakhary, Norhisham, et al.
Published: (2014)

Artificial Neural Network-Based Automated Crack Detection and Analysis for the Inspection of Concrete Structures
by: Jung Jin Kim, et al.
Published: (2020-11-01)

Seismic damage identification based on integrated artificial neural networks and wavelet transforms /
by: Mohammadreza Vafaei, 1978-, et al.
Published: (2013)

Non-probabilistic method to consider uncertainties in frequency response function for vibration-based damage detection using artificial neural network /
by: Khairul Hazman Padil, 1990-, author 546295, et al.
Published: (2020)

Non-probabilistic method to consider uncertainties in frequency response function for vibration-based damage detection using artificial neural network /
by: Khairul Hazman Padil, 1990-, author
Published: (2020)

Human body responses to vibration modeling via artificial neural network on tractor seat suspension /
by: Mohammad Gohari, 1979-, et al.
Published: (2013)

Seismic damage identification based on integrated artificial neural networks and wavelet transforms [electronic resource] /
by: Mohammadreza Vafaei, 1978-
Published: (2013)

A comparison of artificial neural network learning algorithms for vibration-based damage detection
by: Goh, Lyn Dee, et al.
Published: (2011)

Human body responses to vibration modeling via artificial neural network on tractor seat suspension [electronic resource] /
by: Mohammad Gohari, 1979-
Published: (2013)

Distance insensitive concrete crack detection using convolutional neural network with controlled blurriness /
by: Ng, Su Fen, 1994-, author 614113, et al.
Published: (2019)

Distance insensitive concrete crack detection using convolutional neural network with controlled blurriness /
by: Ng, Su Fen, 1994-, author 614113
Published: (2019)

Guidance for the verification and validation of neural networks /
by: 197411 Pullum, Laura L., et al.
Published: (2007)

Non-probabilistic artificial neural network incorporating uncertainties in vibration based damage detection /
by: Khairul Hazman Padil, 1990-, et al.
Published: (2015)

Increasing Wind Turbine Drivetrain Bearing Vibration Monitoring Detectability Using an Artificial Neural Network Implementation
by: Daniel Strömbergsson, et al.
Published: (2021-04-01)

Handwriting recognition using artificial neural network /
by: Oh,Yu Sheng, 1988-, author, et al.
Published: (2011)

Non-probabilistic artificial neural network incorporating uncertainties in vibration based damage detection [electronic resource] /
by: Khairul Hazman Padil, 1990-, et al.
Published: (2015)

Structural Vibration Tests: Use of Artificial Neural Networks for Live Prediction of Structural Stress
by: Laura Wilmes, et al.
Published: (2020-11-01)

Exploring neural networks with C# /
by: Tadeusiewicz, Ryszard, author, et al.
Published: (2015)

Use of Nondestructive Testing of Ultrasound and Artificial Neural Networks to Estimate Compressive Strength of Concrete
by: Fernando A. N. Silva, et al.
Published: (2021-01-01)

Automatic Damage Detection and Diagnosis for Hydraulic Structures Using Drones and Artificial Intelligence Techniques
by: Yantao Zhu, et al.
Published: (2023-01-01)

Artificial neural network model for predicting windstorm intensity and the potential damages /
by: Mohd. Fairuz Bachok, 1976-, author, et al.
Published: (2019)

Artificial neural network model for predicting windstorm intensity and the potential damages /
by: Mohd. Fairuz Bachok, 1976-, author, et al.
Published: (2019)

Handwriting recognition using artificial neural network [electronic resource] /
by: Oh,Yu Sheng, 1988- , author
Published: (2011)

An improved convolutional neural network for convenient rail damage detection
by: Zhongzhou Zhang, et al.
Published: (2022-09-01)

Spam detection using hybrid of artificial neural network and genetic algorithm /
by: Anas W. A. Arram, 1986-, et al.
Published: (2013)

A comparison of artificial neural network learning algorithms for vibration-based damage detection
by: Goh, Lyn Dee, et al.
Published: (2011)

An artificial neural network model for multi-flexoelectric actuation of Plates
by: Mu Fan, et al.
Published: (2022-10-01)

Neural network models in artificial intelligence /
by: 413191 Zeidenberg, Matthew
Published: (1990)

Artificial neural networks in finance and manufacturing /
by: Kamruzzaman, Joarder., et al.
Published: (c200)

Artificial neural networks : an introduction /
by: 176148 Priddy, Kevin L., et al.
Published: (2005)

Artificial neural networks /
by: International Conference on Artificial Neural Networks (2nd : 1991 : Bournemouth International Centre, UK), et al.
Published: (1991)

Computational ecology : artificial neural networks and their applications /
by: 511050 Zhang, Wenjun
Published: (c201)

Designs and applied principles of artificial neural networks /
by: Rogerson, Jeremy, editor
Published: (2015)

Spam detection using hybrid of artificial neural network and genetic algorithm [electronic resource] /
by: Anas W. A. Arram, 1986-
Published: (2013)

DETECTION OF ARRHYTHMIA FROM THE ANALYSIS OF ECG SIGNAL USING ARTIFICIAL NEURAL NETWORKS /
by: Kamarul Zaman Panatik, 1986-, author, et al.
Published: (2016)