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Practical Hydroinformatics: Computational Intelligence and Technological Developments in Water Applications (Water Science and Technology Library, Band 68) - Robert J. Abrahart, Linda M. See, Dimitri P. Solomatine
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Practical Hydroinformatics: Computational Intelligence and Technological Developments in Water Applications (Water Science and Technology Library, Band 68) - Livres de poche

ISBN: 3642098649

[SR: 2809632], Taschenbuch, [EAN: 9783642098642], Springer, Springer, Book, [PU: Springer], Springer, 63355011, Künstliche Intelligenz, 63336011, Informatik, 62991011, Computer & Internet… Plus…

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Practical Hydroinformatics: Computational Intelligence and Technological Developments in Water Applications (Water Science and Technology Library, Band 68) - Robert J. Abrahart, Linda M. See, Dimitri P. Solomatine
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Robert J. Abrahart, Linda M. See, Dimitri P. Solomatine:

Practical Hydroinformatics: Computational Intelligence and Technological Developments in Water Applications (Water Science and Technology Library, Band 68) - Livres de poche

ISBN: 3642098649

[SR: 2838349], Taschenbuch, [EAN: 9783642098642], Springer, Springer, Book, [PU: Springer], Springer, 63355011, Künstliche Intelligenz, 63336011, Informatik, 62991011, Computer & Internet… Plus…

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Earth Sciences; Hydrogeology; Hydrology/Water Resources; Theory of Computation; Artificial Intelligence (incl. Robotics); Complex Systems; Earth Sciences, general Fuzzy, Groundwater, algo… Plus…

  - Hydroinformatics is the rapidly developing field in which information technology is applied to address water-related issues such as flood estimation and rainfall-runoff modeling. This book is a thorough overview of all the latest developments in this incr Frais d'envoizzgl. Versandkosten., Livraison non-comprise
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Herausgegeben von Abrahart, Robert J. See, Linda M. Solomatine, Dimitri P.:
Practical Hydroinformatics - Livres de poche

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Robert J. Abrahart; Linda M. See; Dimitri P. Solomatine:
Practical Hydroinformatics - Livres de poche

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Computational Intelligence and Technological Developments in Water Applications, Buch, Softcover, Softcover reprint of hardcover 1st ed. 2008, [PU: Springer Berlin], Springer Berlin, 2010

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Practical Hydroinformatics
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ISBN:

3642098649


Hydroinformatics is an emerging subject that is expected to gather speed, momentum and critical mass throughout the forthcoming decades of the 21st century. This book provides a broad account of numerous advances in that field - a rapidly developing discipline covering the application of information and communication technologies, modelling and computational intelligence in aquatic environments. A systematic survey, classified according to the methods used (neural networks, fuzzy logic and evolutionary optimization, in particular) is offered, together with illustrated practical applications for solving various water-related issues. ...

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EAN (ISBN-13): 9783642098642
ISBN (ISBN-10): 3642098649
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Springer Berlin
524 Pages
Poids: 0,783 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2011-12-19T16:04:32+01:00 (Zurich)
Page de détail modifiée en dernier sur 2022-07-09T17:58:09+02:00 (Zurich)
ISBN/EAN: 3642098649

ISBN - Autres types d'écriture:
3-642-09864-9, 978-3-642-09864-2
Autres types d'écriture et termes associés:
Auteur du livre: dimitri, von see

Données de l'éditeur

Auteur: Robert J. Abrahart; Linda M. See; Dimitri P. Solomatine
Titre: Water Science and Technology Library; Practical Hydroinformatics - Computational Intelligence and Technological Developments in Water Applications
Editeur: Springer; Springer Berlin
506 Pages
Date de parution: 2010-11-22
Berlin; Heidelberg; DE
Imprimé / Fabriqué en
Langue: Anglais
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XVI, 506 p. 243 illus., 5 illus. in color.

BC; Hardcover, Softcover / Geowissenschaften/Geologie; Geologie und die Lithosphäre; Verstehen; Fuzzy; Groundwater; algorithms; computational intelligence; decision support system; digital elevation model; hydroinformatics; hydrology; intelligence; learning; machine learning; optimization; soft computing; uncertainty; water resources; hydrogeology; Geology; Water; Theory of Computation; Artificial Intelligence; Complex Systems; Earth Sciences; Hydrologie und die Hydrosphäre; Theoretische Informatik; Künstliche Intelligenz; Kybernetik und Systemtheorie; Geowissenschaften; BB

Hydroinformatics: Integrating Data and Models.- Some Future Prospects in Hydroinformatics.- Data-Driven Modelling: Concepts, Approaches and Experiences.- Artificial Neural Network Models.- Neural Network Hydroinformatics: Maintaining Scientific Rigour.- Neural Network Solutions to Flood Estimation at Ungauged Sites.- Rainfall-Runoff Modelling: Integrating Available Data and Modern Techniques.- Dynamic Neural Networks for Nonstationary Hydrological Time Series Modeling.- Visualisation of Hidden Neuron Behaviour in a Neural Network Rainfall-Runoff Model.- Correction of Timing Errors of Artificial Neural Network Rainfall-Runoff Models.- Data-Driven Streamflow Simulation: The Influence of Exogenous Variables and Temporal Resolution.- Groundwater Table Estimation Using MODFLOW and Artificial Neural Networks.- Neural Network Estimation of Suspended Sediment: Potential Pitfalls and Future Directions.- Models Based on Fuzzy Logic.- Fuzzy Logic-Based Approaches in Water Resource System Modelling.- Fuzzy Rule-Based Flood Forecasting.- Development of Rainfall–Runoff Models Using Mamdani-Type Fuzzy Inference Systems.- Using an Adaptive Neuro-fuzzy Inference System in the Development of a Real-Time Expert System for Flood Forecasting.- Building Decision Support Systems based on Fuzzy Inference.- Global and Evolutionary Optimization.- Global and Evolutionary Optimization for Water Management Problems.- Conditional Estimation of Distributed Hydraulic Conductivity in Groundwater Inverse Modeling: Indicator-Generalized Parameterization and Natural Neighbors.- Fitting Hydrological Models on Multiple Responses Using the Multiobjective Evolutionary Annealing-Simplex Approach.- Evolutionary-based Meta-modelling: The Relevance of Using Approximate Models in Hydroinformatics.- Hydrologic Model Calibration Using Evolutionary Optimisation.- Randomised Search Optimisation Algorithms and Their Application in the Rehabilitation of Urban Drainage Systems.- Neural Network Hydrological Modelling:An Evolutionary Approach.- Emerging Technologies.- Combining Machine Learning and Domain Knowledge in Modular Modelling.- Precipitation Interception Modelling Using Machine Learning Methods – The Dragonja River Basin Case Study.- Real-Time Flood Stage Forecasting Using Support Vector Regression.- Learning Bayesian Networks from Deterministic Rainfall–Runoff Models and Monte Carlo Simulation.- Toward Bridging the Gap Between Data-Driven and Mechanistic Models: Cluster-Based Neural Networks for Hydrologic Processes.- Applications of Soft Computing to Environmental Hydroinformatics with Emphasis on Ecohydraulics Modelling.- Data-Driven Models for Projecting Ocean Temperature Profile from Sea Surface Temperature.- Model Integration.- Uncertainty Propagation in Ensemble Rainfall Prediction Systems used for Operational Real-Time Flood Forecasting.- OpenMI – Real Progress Towards Integrated Modelling.- Hydroinformatics – The Challenge for Curriculum and Research, and the “Social Calibration”of Models.- A New Systems Approach to Flood Management in the Yangtze River, China.- Open Model Integration in Flood Forecasting.
Includes supplementary material: sn.pub/extras

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