Hydrological data driven modelling : a case study approach /: a case study approach. ([2014])

• Record Type: Book
• Further Information: Note: Renji Remesan, Jimson Mathew.
• Authors: Remesan, Renji; Mathew, Jimson
• Contents: Preface; Acknowledgments; Contents; 1 Introduction; Abstract; 1.1 Modelling in Hydrology; 1.1.1 Model Classification; 1.2 Stochastic Modelling Case Studies in This Book; 1.2.1 Data Driven Rainfall-Runoff Modelling; 1.2.2 Data Driven Solar Radiation Modelling; 1.2.3 Data Driven Evapotranspiration Modelling; 1.3 Why Do You Read This Book?; References; 2 Hydroinformatics and Data-Based Modelling Issues in Hydrology; Abstract; 2.1 Hydroinformatics; 2.2 Why Overfitting and How to Avoid; 2.3 Input Variable (Data) Selection; 2.4 Redundancy in Input Data and Model. 2.5 Data-Based Modeling -- Complexity, Uncertainty, and Sensitivity2.5.1 Modeling Uncertainty; 2.5.2 Model Complexity; 2.5.3 Training Data Requirements; 2.5.4 Flexibility for a Model; 2.5.5 Sensitivity of a Model; 2.5.6 Predictive Error of a Model; 2.5.7 Identifiability of a Model; 2.6 Index of Model Utility (U); 2.7 Conclusions; References; 3 Model Data Selection and Data Pre-processing Approaches; Abstract; 3.1 Implementation of Gamma Test ; 3.1.1 Background on Gamma Statistic, V-Ratio, and M-Test; 3.1.2 Assumptions in the Gamma Test; 3.1.3 Data Analysis Using Gamma Test; 3.1.4 Delta Test. 3.2 Implementation of Entropy Theory3.2.1 Multidimensional Extensions of Entropy Theory; 3.2.2 Application of Entropy Theory; 3.3 Implementation of AIC and BIC; 3.4 Implementation of Cluster Analysis; 3.4.1 Hierarchical Tree Cluster Analysis; 3.4.1.1 Single Linkage Clustering; 3.4.1.2 Complete Linkage Clustering; 3.4.1.3 Average Linkage Clustering; 3.4.1.4 Average Group Linkage Clustering (Centroid Clustering); 3.4.1.5 Ward's Linkage Clustering; 3.4.2 Partition Clustering (K-Means Clustering); 3.4.2.1 Silhouette Value; 3.5 Implementation of Principal Component Analysis. 3.6 Traditional Approaches in Data and Model Selection3.6.1 The Holdout Method; 3.6.2 Random Sub-sampling; 3.6.3 K-Fold Cross-Validation; 3.6.4 Leave-One-Out Cross-Validation; 3.6.5 Cross-Correlation Method; 3.7 Conclusions; References; 4 Machine Learning and Artificial Intelligence-Based Approaches; Abstract; 4.1 Transfer Function Models; 4.1.1 Autoregressive Model; 4.1.2 Moving Average Model; 4.1.3 Autoregressive Moving Average Model: ARMA (P, Q); 4.1.4 Autoregressive Moving Integrated Average Model: ARIMA (P, Q); 4.1.5 AutoRegressive with eXogenous Input (ARX) Model. 4.1.6 AutoRegressive Moving Average with EXogenous Input (ARMAX) Model4.2 Local Linear Regression Model; 4.3 Artificial Neural Networks Model; 4.3.1 Feed-Forward Neural Network Architecture; 4.3.2 Recurrent Artificial Neural Networks; 4.3.3 Elman Artificial Neural Networks; 4.3.4 Jordan Artificial Neural Networks; 4.3.5 Hopfield Networks; 4.3.6 Long Short Term Memory Networks; 4.4 Training Algorithms; 4.4.1 Conjugate Gradient Algorithm; 4.4.2 Broyden -- Fletcher -- Goldfarb -- Shanno Algorithm; 4.4.3 Levenberg -- Marquardt Algorithms; 4.5 Discrete Wavelet Transforms; 4.6 Hybrid Models.
• Publisher Details: Cham : Springer
• Publication Date: 2014
• Copyright Date: 2015
• Extent: 1 online resource (xv, 250 pages), illustrations (some color)
• Subjects: 551.4801/1; Earth sciences; Hydrologic models; SCIENCE -- Earth Sciences -- Geography; SCIENCE -- Earth Sciences -- Geology; Hydrologic models; Science -- Earth Sciences -- Hydrology; Science -- Earth Sciences -- Meteorology & Climatology; Hydrology & the hydrosphere; Meteorology & climatology; Hydraulic engineering; Electronic books
• Languages: English
• ISBNs: 9783319092355; 3319092359; 3319092340; 9783319092348
• Related ISBNs: 9783319092348
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (SpringerLink, viewed December 11, 2014).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.