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  • Search: subject:"surrogate modelling"
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Year of publication
Subject
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surrogate modelling 4 Agent-based modeling 2 Agentenbasierte Modellierung 2 Simulation 2 Statistical machine learning 2 empirical validation 2 Agent-based models 1 Artificial intelligence 1 Co-Kriging 1 Coastal hazard 1 Estimation 1 HRM 1 Hurricane wave and surge 1 India 1 Kriging 1 Künstliche Intelligenz 1 Modellierung 1 PSO 1 Response surface approximations 1 Risk assessment 1 Scientific modelling 1 Statistical method 1 Statistische Methode 1 Storm surge 1 Surrogate modelling 1 Surrogate modelling optimization 1 Theorie 1 Theory 1 Tropical cyclones 1 expensive black-box 1 human resource management 1 human resources 1 impact rating 1 likelihood rating 1 multifidelity 1 particle swarm optimisation 1 risk assessment 1 soft computing 1 space mapping 1 steel industry 1
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Online availability
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Undetermined 4 Free 2
Type of publication
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Article 4 Book / Working Paper 2
Type of publication (narrower categories)
All
Article in journal 2 Aufsatz in Zeitschrift 2 Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 4 Undetermined 2
Author
All
Barde, Sylvian 2 Hoog, Sander van der 2 Andrés-Thió, Nicolau 1 Jia, Gaofeng 1 Kennedy, Andrew 1 Mishra, R.K. 1 Muñoz, Mario Andrés 1 Panigrahy, Rajat Kumar 1 Patnaik, Srikanta 1 Smith, Jane 1 Smith-Miles, Kate 1 Taflanidis, Alexandros 1 van der Hoog, Sander 1
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Published in...
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Computational economics 1 Discussion papers / University of Kent, School of Economics 1 INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences 1 International Journal of Data Analysis Techniques and Strategies 1 Natural Hazards 1 School of Economics Discussion Papers 1
Source
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ECONIS (ZBW) 3 RePEc 2 EconStor 1
Showing 1 - 6 of 6
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Bifidelity surrogate modelling : showcasing the need for new test instances
Andrés-Thió, Nicolau; Muñoz, Mario Andrés; … - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 6, pp. 3007-3022
Persistent link: https://www.econbiz.de/10014326333
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An empirical validation protocol for large-scale agent-based models
Barde, Sylvian; van der Hoog, Sander - 2017
Despite recent advances in bringing agent-based models (ABMs) to the data, the estimation or calibration of model parameters remains a challenge, especially when it comes to large-scale agent-based macroeconomic models. Most methods, such as the method of simulated moments (MSM), require...
Persistent link: https://www.econbiz.de/10011943082
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An empirical validation protocol for large-scale agent-based models
Barde, Sylvian; Hoog, Sander van der - 2017
Despite recent advances in bringing agent-based models (ABMs) to the data, the estimation or calibration of model parameters remains a challenge, especially when it comes to large-scale agent-based macroeconomic models. Most methods, such as the method of simulated moments (MSM), require...
Persistent link: https://www.econbiz.de/10011689008
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Surrogate modelling in (and of) agent-based models : a prospectus
Hoog, Sander van der - In: Computational economics 53 (2019) 3, pp. 1245-1263
Persistent link: https://www.econbiz.de/10012135128
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Soft computing for HR uncertainty management in steel industry
Panigrahy, Rajat Kumar; Mishra, R.K.; Patnaik, Srikanta - In: International Journal of Data Analysis Techniques and … 5 (2013) 3, pp. 252-269
This paper discussed possible application of soft computing methods in uncertainty management of the HR component in steel industry during automation period. It explained the importance of HR, the concept of uncertainty management and risk. Risk assessment map of Rourkela Steel Plant is...
Persistent link: https://www.econbiz.de/10010682875
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Implementation/optimization of moving least squares response surfaces for approximation of hurricane/storm surge and wave responses
Taflanidis, Alexandros; Jia, Gaofeng; Kennedy, Andrew; … - In: Natural Hazards 66 (2013) 2, pp. 955-983
with these models has simultaneously created an incentive for researchers to investigate surrogate modelling (i …. This paper discusses further implementation details and focuses on optimization characteristics of this surrogate modelling … influence in the analysis of the model prediction error introduced through the surrogate modelling is discussed. A case study is …
Persistent link: https://www.econbiz.de/10010759087
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