ACCELERATED TRAINING OF CONSTITUTIVE RELATIONS FOR HISTORY-DEPENDENT COMPOSITE MATERIALS USING RECURRENT NEURAL NETWORK WITH TRANSFER LEARNING

Master's

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Bibliographic Details
Main Author:	ZHANG CHEN
Other Authors:	CIVIL & ENVIRONMENTAL ENGINEERING
Format:	Theses and Dissertations
Language:	English
Published:	2023
Subjects:	Deep learning, Recurrent Neural networks, Transfer learning, LSTM, Multi-scale modeling, Plasticity
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/236775
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-236775
record_format	dspace
spelling	sg-nus-scholar.10635-2367752024-01-01T18:01:08Z ACCELERATED TRAINING OF CONSTITUTIVE RELATIONS FOR HISTORY-DEPENDENT COMPOSITE MATERIALS USING RECURRENT NEURAL NETWORK WITH TRANSFER LEARNING ZHANG CHEN CIVIL & ENVIRONMENTAL ENGINEERING Leong Hien Poh Deep learning, Recurrent Neural networks, Transfer learning, LSTM, Multi-scale modeling, Plasticity Master's MASTER OF ENGINEERING (CDE) 2023-01-31T18:07:03Z 2023-01-31T18:07:03Z 2022-07-13 Thesis ZHANG CHEN (2022-07-13). ACCELERATED TRAINING OF CONSTITUTIVE RELATIONS FOR HISTORY-DEPENDENT COMPOSITE MATERIALS USING RECURRENT NEURAL NETWORK WITH TRANSFER LEARNING. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/236775 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Deep learning, Recurrent Neural networks, Transfer learning, LSTM, Multi-scale modeling, Plasticity
spellingShingle	Deep learning, Recurrent Neural networks, Transfer learning, LSTM, Multi-scale modeling, Plasticity ZHANG CHEN ACCELERATED TRAINING OF CONSTITUTIVE RELATIONS FOR HISTORY-DEPENDENT COMPOSITE MATERIALS USING RECURRENT NEURAL NETWORK WITH TRANSFER LEARNING
description	Master's
author2	CIVIL & ENVIRONMENTAL ENGINEERING
author_facet	CIVIL & ENVIRONMENTAL ENGINEERING ZHANG CHEN
format	Theses and Dissertations
author	ZHANG CHEN
author_sort	ZHANG CHEN
title	ACCELERATED TRAINING OF CONSTITUTIVE RELATIONS FOR HISTORY-DEPENDENT COMPOSITE MATERIALS USING RECURRENT NEURAL NETWORK WITH TRANSFER LEARNING
title_short	ACCELERATED TRAINING OF CONSTITUTIVE RELATIONS FOR HISTORY-DEPENDENT COMPOSITE MATERIALS USING RECURRENT NEURAL NETWORK WITH TRANSFER LEARNING
title_full	ACCELERATED TRAINING OF CONSTITUTIVE RELATIONS FOR HISTORY-DEPENDENT COMPOSITE MATERIALS USING RECURRENT NEURAL NETWORK WITH TRANSFER LEARNING
title_fullStr	ACCELERATED TRAINING OF CONSTITUTIVE RELATIONS FOR HISTORY-DEPENDENT COMPOSITE MATERIALS USING RECURRENT NEURAL NETWORK WITH TRANSFER LEARNING
title_full_unstemmed	ACCELERATED TRAINING OF CONSTITUTIVE RELATIONS FOR HISTORY-DEPENDENT COMPOSITE MATERIALS USING RECURRENT NEURAL NETWORK WITH TRANSFER LEARNING
title_sort	accelerated training of constitutive relations for history-dependent composite materials using recurrent neural network with transfer learning
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/236775
_version_	1787136339661029376

ACCELERATED TRAINING OF CONSTITUTIVE RELATIONS FOR HISTORY-DEPENDENT COMPOSITE MATERIALS USING RECURRENT NEURAL NETWORK WITH TRANSFER LEARNING

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