A neural network approach for simulating stationary stochastic processes

Structural Engineering and Mechanics

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Main Authors: Beer, M., Spanos, P.D.
Other Authors: CIVIL ENGINEERING
Format: Article
Published: 2014
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/54477
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-544772015-02-19T12:47:38Z A neural network approach for simulating stationary stochastic processes Beer, M. Spanos, P.D. CIVIL ENGINEERING Monte Carlo simulation Neural networks Stochastic processes Structural Engineering and Mechanics 32 1 71-94 SEGME 2014-06-16T09:31:33Z 2014-06-16T09:31:33Z 2009-05-10 Article Beer, M.,Spanos, P.D. (2009-05-10). A neural network approach for simulating stationary stochastic processes. Structural Engineering and Mechanics 32 (1) : 71-94. ScholarBank@NUS Repository. 12254568 http://scholarbank.nus.edu.sg/handle/10635/54477 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic Monte Carlo simulation
Neural networks
Stochastic processes
spellingShingle Monte Carlo simulation
Neural networks
Stochastic processes
Beer, M.
Spanos, P.D.
A neural network approach for simulating stationary stochastic processes
description Structural Engineering and Mechanics
author2 CIVIL ENGINEERING
author_facet CIVIL ENGINEERING
Beer, M.
Spanos, P.D.
format Article
author Beer, M.
Spanos, P.D.
author_sort Beer, M.
title A neural network approach for simulating stationary stochastic processes
title_short A neural network approach for simulating stationary stochastic processes
title_full A neural network approach for simulating stationary stochastic processes
title_fullStr A neural network approach for simulating stationary stochastic processes
title_full_unstemmed A neural network approach for simulating stationary stochastic processes
title_sort neural network approach for simulating stationary stochastic processes
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/54477
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