Data-Driven Modelling | Investigation of data-driven flood forecasting models

Sohail Ahmed Tufail

ISBN 10: 6202016353 / ISBN 13: 9786202016353

Published by LAP Lambert Academic Publishing, 2017

About this Item

Data-Driven Modelling | Investigation of data-driven flood forecasting models | Sohail Ahmed Tufail | Taschenbuch | 68 S. | Englisch | 2017 | LAP Lambert Academic Publishing | EAN 9786202016353 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 109680319

Bibliographic Details

• Title: Data-Driven Modelling | Investigation of data-driven flood forecasting models
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2017
• Language: English
• ISBN 10: 6202016353
• ISBN 13: 9786202016353
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 119 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The advantage of statistical models of input-output type is that they can be relatively easily constructed and applied, but on the other hand the disadvantage of such models is that that they don’t reveal the inner nature of observed phenomenon. Conceptual models, which have advantage of transparent functioning, but are sometimes hard to be proven correct. Artificial intelligence offers methods of machine learning from examples, which eliminate the disadvantages of statistical as well as conceptual approaches and integrate the advantages. A comprehensive data driven modelling experiment based on regression trees is presented in this book. Regression trees have been employed on practical problem of constructing a data driven model for runoff prediction from known present and past runoff at water-level-gauges and rainfall at rain gauges within the catchment. Results based on approximation and prediction accuracy obtained from regression trees are then compared with other DDM techniques namely, artificial neural networks, Gaussian process, support vector regressions and multiple linear regressions. Book is a must read for the researchers working in the field of data-driven modelling.

About the Author

Sohail Ahmed was born in Shikarpur, Pakistan, on January 01, 1990. After finishing high school in 2008, he studied Civil Engineering at University of Engineering and Technology Lahore. He received M.Sc in Hydro Science and Engineering from Technical University of Dresden, Germany.