Evidence-Based Critical Care : a Case St
β Robert C. Hyzy
π Library
π
2017
π Springer; Springer International Publishing
π English
β¦ LIBER β¦
π
Hydrological Data Driven Modelling: A Case Study Approach
β Scribed by Renji Remesan, Jimson Mathew (auth.)
- Publisher
- Springer International Publishing
- Year
- 2015
- Tongue
- English
- Leaves
- 261
- Series
- Earth Systems Data and Models 1
- Edition
- 1
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.
β¦ Table of Contents
Front Matter....Pages i-xv
Introduction....Pages 1-17
Hydroinformatics and Data-Based Modelling Issues in Hydrology....Pages 19-39
Model Data Selection and Data Pre-processing Approaches....Pages 41-70
Machine Learning and Artificial Intelligence-Based Approaches....Pages 71-110
Data Based Solar Radiation Modelling....Pages 111-150
Data Based Rainfall-Runoff Modelling....Pages 151-182
Data-Based Evapotranspiration Modeling....Pages 183-230
Application of Statistical Blockade in Hydrology....Pages 231-247
Back Matter....Pages 249-250
β¦ Subjects
Hydrogeology; Hydrology/Water Resources; Geoengineering, Foundations, Hydraulics
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