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The Resource Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering, by Shahab Araghinejad, (electronic resource)

Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering, by Shahab Araghinejad, (electronic resource)

Label
Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering
Title
Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering
Statement of responsibility
by Shahab Araghinejad
Creator
Contributor
Subject
Language
eng
Summary
'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 presentsthe 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
Member of
Is part of
http://library.link/vocab/creatorName
Araghinejad, Shahab
Dewey number
551.4
LC call number
GB1001-1199.8
http://library.link/vocab/relatedWorkOrContributorName
SpringerLink (Online service)
Series statement
Water Science and Technology Library,
Series volume
67
http://library.link/vocab/subjectName
  • Geography
  • Hydraulic engineering
  • Environmental management
  • Environmental sciences
  • Environmental pollution
  • Earth Sciences
  • Hydrogeology
  • Hydrology/Water Resources
  • Math. Appl. in Environmental Science
  • Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution
  • Environmental Monitoring/Analysis
  • Environmental Management
Label
Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering, by Shahab Araghinejad, (electronic resource)
Instantiates
Publication
Contents
Preface -- 1.Introduction -- 2.Basic Statistics -- 3.Regression Based Models -- 4.Time Series Modeling -- 5.Artificial Neural Networks -- 6.Support Vector Machines.-7.Fuzzy Models -- 8. Hybrid Models and Multi Model Data Fusion -- Appendix -- Index.
Control code
OCM1bookssj0001066873
Dimensions
unknown
Isbn
9789400775060
Other control number
10.1007/978-94-007-7506-0
Specific material designation
remote
System control number
(WaSeSS)bookssj0001066873
Label
Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering, by Shahab Araghinejad, (electronic resource)
Publication
Contents
Preface -- 1.Introduction -- 2.Basic Statistics -- 3.Regression Based Models -- 4.Time Series Modeling -- 5.Artificial Neural Networks -- 6.Support Vector Machines.-7.Fuzzy Models -- 8. Hybrid Models and Multi Model Data Fusion -- Appendix -- Index.
Control code
OCM1bookssj0001066873
Dimensions
unknown
Isbn
9789400775060
Other control number
10.1007/978-94-007-7506-0
Specific material designation
remote
System control number
(WaSeSS)bookssj0001066873

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