UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

GeoComputation

Second edition., 2014

Volltextzugriff (PDF)

Use of Gene Expression Programming for Multimodel Combination of Rainfall-Runoff Models

Journal of hydrologic engineering, 2012-09, Vol.17 (9), p.975-985

2012

Volltextzugriff (PDF)

Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting

Progress in physical geography, 2012-08, Vol.36 (4), p.480-513

2012

Volltextzugriff (PDF)

Improved validation framework and R-package for artificial neural network models

Environmental modelling & software : with environment data news, 2017-06, Vol.92, p.82-106

2017

Volltextzugriff (PDF)

Symbiotic adaptive neuro-evolution applied to rainfall–runoff modelling in northern England

Neural networks, 2006-03, Vol.19 (2), p.236-247

2006

Volltextzugriff (PDF)

Including spatial distribution in a data-driven rainfall-runoff model to improve reservoir inflow forecasting in Taiwan

Hydrological processes, 2014-01, Vol.28 (3), p.1055-1070

2014

Volltextzugriff (PDF)

Load or concentration, logged or unlogged? Addressing ten years of uncertainty in neural network suspended sediment prediction

Hydrological processes, 2011-09, Vol.25 (20), p.3144-3157

2011

Volltextzugriff (PDF)

Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments

Hydrological processes, 2000-08, Vol.14 (11-12), p.2157-2172

2000

Volltextzugriff (PDF)

A typology of different development and testing options for symbolic regression modelling of measured and calculated datasets

Environmental modelling & software : with environment data news, 2013-09, Vol.47, p.29-41

2013

Volltextzugriff (PDF)

Discussion of ‘Reservoir Computing approach to Great Lakes water level forecasting’ by P. Coulibaly [J. Hydrol. 381(2010) 76–88]

Journal of hydrology (Amsterdam), 2012-02, Vol.422-423, p.76-80

2012

Volltextzugriff (PDF)

DAMP: A protocol for contextualising goodness-of-fit statistics in sediment-discharge data-driven modelling

Journal of hydrology (Amsterdam), 2011-11, Vol.409 (3), p.596-611

2011

Volltextzugriff (PDF)

Neuroemulation: definition and key benefits for water resources research

Hydrological sciences journal, 2012-04, Vol.57 (3), p.407-423

2012

Volltextzugriff (PDF)

Neuro-fuzzy modelling of suspended sediment load: The need for a sound comparison with established methods

Advances in engineering software (1992), 2010-06, Vol.41 (6), p.874-878

2010

Volltextzugriff (PDF)

Letter to the Editor on “Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models” by Ozgur Kisi & Jalal Shiri [Water Resources Management 25 (2011) 3135–3152]

Water resources management, 2012-09, Vol.26 (12), p.3653-3662

2012

Volltextzugriff (PDF)

Multi-model data fusion for hydrological forecasting

Computers & geosciences, 2001-10, Vol.27 (8), p.987-994

2001

Volltextzugriff (PDF)

Discussion of “Neuro-fuzzy models employing wavelet analysis for suspended sediment concentration prediction in rivers”

Hydrological sciences journal, 2011-01, Vol.56 (7), p.1325-1329

2011

Volltextzugriff (PDF)

GeoComputation

2014

Volltextzugriff (PDF)

Neural network rainfall-runoff forecasting based on continuous resampling

Journal of hydroinformatics, 2003-01, Vol.5 (1), p.51-61

Abrahart, Robert J

2003

Volltextzugriff (PDF)

Investigating the role of saliency analysis with a neural network rainfall-runoff model

Computers & geosciences, 2001-10, Vol.27 (8), p.921-928

2001

Volltextzugriff (PDF)

“Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations” by Jalal Shiri & Ozgur Kisi [Computers and Geosciences (2011) 1692–1701]

Computers & geosciences, 2013-07, Vol.56, p.216-220

2013

Volltextzugriff (PDF)

The need for operational reasoning in data-driven rating curve prediction of suspended sediment

Hydrological processes, 2012-12, Vol.26 (26), p.3982-4000

2012

Volltextzugriff (PDF)

THE SENSITIVITY OF TWO DISTRIBUTED NON-POINT SOURCE POLLUTION MODELS TO THE SPATIAL ARRANGEMENT OF THE LANDSCAPE

Hydrological processes, 1997-03, Vol.11 (3), p.241-252

1997

Volltextzugriff (PDF)

Including spatial distribution in a data-driven rainfall-runoff model to improve reservoir inflow forecasting in Taiwan: INCLUDING SPATIAL DISTRIBUTION IN A DATA-DRIVEN RAINFALL-RUNOFF MODEL

Hydrological processes, 2014-01, Vol.28 (3), p.1055-1070

2014

Volltextzugriff (PDF)

Using pruning algorithms and genetic algorithms to optimise network architectures and forecasting inputs in a neural network rainfall-runoff model

Journal of hydroinformatics, 1999-10, Vol.1 (2), p.103-114

1999

Volltextzugriff (PDF)

Timing error correction procedure applied to neural network rainfall-runoff modelling

Hydrological sciences journal, 2007-06, Vol.52 (3), p.414-431

2007

Volltextzugriff (PDF)

1 – 25 von 64

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(30)
Mit Volltextzugriff
(63)

Publikationsform

Sprache

Englisch
(64)

Erscheinungsjahr

n.n

Thema

Computing: General
(25)
Geographical Information Systems & Remote Sensing
(25)
Human Geography
(25)
Science & Technology
(25)
Physical Sciences
(20)
Water Resources
(17)
Neural Networks
(16)
Technology
(14)
Computer Science
(10)
Hydrology
(10)
Earth Sciences
(9)
Engineering
(8)
Exact Sciences And Technology
(7)
Mathematical Models
(7)
Computer Science, Interdisciplinary Applications
(6)
Earth, Ocean, Space
(6)
Geology
(6)
Geosciences, Multidisciplinary
(6)
Hydrology. Hydrogeology
(6)
Sediments
(6)

15 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

GeoComputation

Use of Gene Expression Programming for Multimodel Combination of Rainfall-Runoff Models

Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting

Improved validation framework and R-package for artificial neural network models

Symbiotic adaptive neuro-evolution applied to rainfall–runoff modelling in northern England

Including spatial distribution in a data-driven rainfall-runoff model to improve reservoir inflow forecasting in Taiwan

Load or concentration, logged or unlogged? Addressing ten years of uncertainty in neural network suspended sediment prediction

Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments

A typology of different development and testing options for symbolic regression modelling of measured and calculated datasets

Discussion of ‘Reservoir Computing approach to Great Lakes water level forecasting’ by P. Coulibaly [J. Hydrol. 381(2010) 76–88]

DAMP: A protocol for contextualising goodness-of-fit statistics in sediment-discharge data-driven modelling

Neuroemulation: definition and key benefits for water resources research

Neuro-fuzzy modelling of suspended sediment load: The need for a sound comparison with established methods

Letter to the Editor on “Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models” by Ozgur Kisi & Jalal Shiri [Water Resources Management 25 (2011) 3135–3152]

Multi-model data fusion for hydrological forecasting

Discussion of “Neuro-fuzzy models employing wavelet analysis for suspended sediment concentration prediction in rivers”

GeoComputation

Neural network rainfall-runoff forecasting based on continuous resampling

Investigating the role of saliency analysis with a neural network rainfall-runoff model

“Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations” by Jalal Shiri & Ozgur Kisi [Computers and Geosciences (2011) 1692–1701]

The need for operational reasoning in data-driven rating curve prediction of suspended sediment

THE SENSITIVITY OF TWO DISTRIBUTED NON-POINT SOURCE POLLUTION MODELS TO THE SPATIAL ARRANGEMENT OF THE LANDSCAPE

Including spatial distribution in a data-driven rainfall-runoff model to improve reservoir inflow forecasting in Taiwan: INCLUDING SPATIAL DISTRIBUTION IN A DATA-DRIVEN RAINFALL-RUNOFF MODEL

Using pruning algorithms and genetic algorithms to optimise network architectures and forecasting inputs in a neural network rainfall-runoff model

Timing error correction procedure applied to neural network rainfall-runoff modelling

Suchergebnisse filtern