Neural Network Approach to Response of Buildings Due to Earthquake Excitation

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ISSN Print: 2156-8359
ISSN Online: 2156-8367
www.scirp.org/journal/ijg
E-mail: ijg@scirp.org

"Neural Network Approach to Response of Buildings Due to Earthquake Excitation"
written by Sayantan Chakraborty, Prashant Kumar, Swapan Kumar Chakraborty,
published by International Journal of Geosciences, Vol.3 No.3, 2012

has been cited by the following article(s):

[1]	Reliability Analysis of RC Code for Predicting Load-Carrying Capacity of RCC Walls Through ANN
	… and Machine Learning Techniques for Civil …, 2023

[2]	Reinforced Concrete (RC) Structures Analysis and Assessment with Artificial Neural Networks (ANNs).
	2018

[3]	A New Damage Assessment Method by Means of Neural Network and Multi-Sensor Satellite Data
	Applied Sciences, 2017

[4]	External Wall Insulation Technology Research in Building Technology
	Information Technology Journal, 2014

[1]	Prediction of load-bearing capacity of RC columns (CWA) using Artificial Neural Networks (ANN) trained on a hybrid experimental database HEXP Journal of Engineering Research, 2024 DOI:10.1016/j.jer.2024.12.014

[2]	Artificial Intelligence and Machine Learning Techniques for Civil Engineering Advances in Civil and Industrial Engineering, 2023 DOI:10.4018/978-1-6684-5643-9.ch009

[3]	A New Damage Assessment Method by Means of Neural Network and Multi-Sensor Satellite Data Applied Sciences, 2017 DOI:10.3390/app7080781

[4]	A New Damage Assessment Method by Means of Neural Network and Multi-Sensor Satellite Data Applied Sciences, 2017 DOI:10.3390/app7080781

[5]	External Wall Insulation Technology Research in Building Technology Information Technology Journal, 2014 DOI:10.3923/itj.2014.78.85

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