Holger R Maier

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	전체	2020년 이후
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Graeme DandyEmeritus Professor of Civil and Environmental Engineering, University of Adelaideadelaide.edu.au의 이메일 확인됨
Hedwig van DeldenResearch Institute for Knowledge Systems, The University of Adelaideriks.nl의 이메일 확인됨
Matt GibbsCSIRO Land and Watercsiro.au의 이메일 확인됨
Wenyan WuThe University of Melbourneunimelb.edu.au의 이메일 확인됨
Seth WestraUniversity of Adelaideadelaide.edu.au의 이메일 확인됨
Andrea CastellettiProfessor, Politecnico di Milanopolimi.it의 이메일 확인됨
Mark JaksaEmeritus Professor of Geotechnical Engineering, University of Adelaide, Australiaadelaide.edu.au의 이메일 확인됨
Mohamed ShahinProfessor of Geotechnical Engineering, Curtin University, Australiacurtin.edu.au의 이메일 확인됨
Greer Humphrey (nee Kingston)Biostatistician, University of Adelaideadelaide.edu.au의 이메일 확인됨
Martin F LambertThe University of Adelaideadelaide.edu.au의 이메일 확인됨
Feifei ZhengProfessor，Principal Investigator, Collge of Civil Engineering and Architecture Anzhong Buildingzju.edu.cn의 이메일 확인됨
Angela MarchiSchool of Civil, Environmental and Mining Engineering, University of Adelaideadelaide.edu.au의 이메일 확인됨
Danlu GuoSenior Lecturer, School of Engineering, Australian National Universityanu.edu.au의 이메일 확인됨
Craig T. Simmons FAA FTSEPro Vice-Chancellor, College of Engineering, Science and Environment, The University of Newcastlenewcastle.edu.au의 이메일 확인됨
Jan KwakkelDelft University of Technologytudelft.nl의 이메일 확인됨
Bryan A. TolsonProfessor, Department of Civil and Environmental Engineering, University of Waterloouwaterloo.ca의 이메일 확인됨
Daniel PartingtonResearch fellow, National Centre for Groundwater Research and Training, Flinders Universityflinders.edu.au의 이메일 확인됨
Michael LeonardUniversity of Adelaideadelaide.edu.au의 이메일 확인됨
Matteo GiulianiAssociate Professor, Politecnico di Milanopolimi.it의 이메일 확인됨
Dragan SavicUniversity of Exeter & Univ. of Belgrade; KWR Water Research https://www.kwrwater.nlexeter.ac.uk의 이메일 확인됨

팔로우

Holger R Maier

Professor, School of Civil, Environmental and Mining Engineering, The University of Adelaide

adelaide.edu.au의 이메일 확인됨 - 홈페이지

Integrated Water Resources Management Hydroinformatics Decision Making Uncertainty Artificial Intelligence


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications HR Maier, GC Dandy Environmental modelling & software 15 (1), 101-124, 2000	3020	2000
Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions HR Maier, A Jain, GC Dandy, KP Sudheer Environmental modelling & software 25 (8), 891-909, 2010	1026	2010
Selecting among five common modelling approaches for integrated environmental assessment and management RA Kelly, AJ Jakeman, O Barreteau, ME Borsuk, S ElSawah, SH Hamilton, ... Environmental modelling & software 47, 159-181, 2013	845	2013
The use of artificial neural networks for the prediction of water quality parameters HR Maier, GC Dandy Water resources research 32 (4), 1013-1022, 1996	810	1996
Ant colony optimization for design of water distribution systems HR Maier, AR Simpson, AC Zecchin, WK Foong, KY Phang, HY Seah, ... Journal of water resources planning and management 129 (3), 200-209, 2003	697	2003
Input determination for neural network models in water resources applications. Part 1—background and methodology GJ Bowden, GC Dandy, HR Maier Journal of Hydrology 301 (1-4), 75-92, 2005	696	2005
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions HR Maier, Z Kapelan, J Kasprzyk, J Kollat, LS Matott, MC Cunha, ... Environmental Modelling & Software 62, 271-299, 2014	687	2014
Future research challenges for incorporation of uncertainty in environmental and ecological decision-making JC Ascough Ii, HR Maier, JK Ravalico, MW Strudley Ecological modelling 219 (3-4), 383-399, 2008	637	2008
Artificial neural network applications in geotechnical engineering MA Shahin, MB Jaksa, HR Maier Australian geomechanics 36 (1), 49-62, 2001	612	2001
An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together? HR Maier, JHA Guillaume, H van Delden, GA Riddell, M Haasnoot, ... Environmental modelling & software 81, 154-164, 2016	567	2016
Review of input variable selection methods for artificial neural networks R May, G Dandy, H Maier Artificial neural networks-methodological advances and biomedical …, 2011	509	2011
The future of sensitivity analysis: an essential discipline for systems modeling and policy support S Razavi, A Jakeman, A Saltelli, C Prieur, B Iooss, E Borgonovo, ... Environmental Modelling & Software 137, 104954, 2021	470	2021
Predicting settlement of shallow foundations using neural networks MA Shahin, HR Maier, MB Jaksa Journal of geotechnical and geoenvironmental engineering 128 (9), 785-793, 2002	465	2002
Data division for developing neural networks applied to geotechnical engineering MA Shahin, HR Maier, MB Jaksa journal of Computing in Civil Engineering 18 (2), 105-114, 2004	432	2004
Optimal division of data for neural network models in water resources applications GJ Bowden, HR Maier, GC Dandy Water resources research 38 (2), 2-1-2-11, 2002	407	2002
Non-linear variable selection for artificial neural networks using partial mutual information RJ May, HR Maier, GC Dandy, TMKG Fernando Environmental Modelling & Software 23 (10-11), 1312-1326, 2008	382	2008
Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling W Wu, GC Dandy, HR Maier Environmental Modelling & Software 54, 108-127, 2014	340	2014
Introductory overview: Optimization using evolutionary algorithms and other metaheuristics HR Maier, S Razavi, Z Kapelan, LS Matott, J Kasprzyk, BA Tolson Environmental modelling & software 114, 195-213, 2019	311	2019
Data splitting for artificial neural networks using SOM-based stratified sampling RJ May, HR Maier, GC Dandy Neural Networks 23 (2), 283-294, 2010	303	2010
The effect of internal parameters and geometry on the performance of back-propagation neural networks: an empirical study HR Maier, GC Dandy Environmental Modelling & Software 13 (2), 193-209, 1998	297	1998

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