Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering

Nonfiction, Science & Nature, Science, Biological Sciences, Environmental Science, Earth Sciences
Cover of the book Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering by Shahab Araghinejad, Springer Netherlands
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Shahab Araghinejad ISBN: 9789400775060
Publisher: Springer Netherlands Publication: November 26, 2013
Imprint: Springer Language: English
Author: Shahab Araghinejad
ISBN: 9789400775060
Publisher: Springer Netherlands
Publication: November 26, 2013
Imprint: Springer
Language: English

“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation.
The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques.   
The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com.
The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation.
The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques.   
The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com.
The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.

More books from Springer Netherlands

Cover of the book Pluralism in Mathematics: A New Position in Philosophy of Mathematics by Shahab Araghinejad
Cover of the book Current Issues in Developmental Psychology by Shahab Araghinejad
Cover of the book An Introduction to Neural Network Methods for Differential Equations by Shahab Araghinejad
Cover of the book Heavy Metals in Soils by Shahab Araghinejad
Cover of the book The Renin-Angiotensin System: Current Research Progress in The Pancreas by Shahab Araghinejad
Cover of the book Male Fertility and Its Regulation by Shahab Araghinejad
Cover of the book Current Status of Clinical Cardiology 1990 by Shahab Araghinejad
Cover of the book Forestry Pesticide Aerial Spraying by Shahab Araghinejad
Cover of the book Human Suffering and Quality of Life by Shahab Araghinejad
Cover of the book Why Teach Mathematics? by Shahab Araghinejad
Cover of the book Prelude to War by Shahab Araghinejad
Cover of the book The Soils of Iceland by Shahab Araghinejad
Cover of the book Elements of Responsible Politics by Shahab Araghinejad
Cover of the book Natural Hazards by Shahab Araghinejad
Cover of the book Egg Parasitoids in Agroecosystems with Emphasis on Trichogramma by Shahab Araghinejad
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy