INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9789400775053
NATIONAL BIBLIOGRAPHY NUMBER
Country Code
IR
Number
EN-54566
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
COUNTRY OF PUBLICATION OR PRODUCTlON
Country of publication
IR
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Data-driven modeling
General Material Designation
[Book]
Other Title Information
:using MATLAB@221E in water resources and environmental engineering
First Statement of Responsibility
/ Shahab Araghinejad
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Dordrecht
Name of Publisher, Distributor, etc.
: Springer,
Date of Publication, Distribution, etc.
, 2014.
SERIES
Series Title
(Water science and technology library
Volume Designation
; 67)
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Electronic
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index..
CONTENTS NOTE
Text of Note
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 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.
Text of Note
Basic Statistics -- Regression Based Models -- Time Series Modeling -- Artificial Neural Networks -- Support Vector Machines -- Fuzzy Models -- Hybrid Models and Multi Model Data Fusion.
SERIES
Title
Water science and technology library
Volume Number
67
TOPICAL NAME USED AS SUBJECT
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
Water-supply engineering, Computer programs
Environmental engineering, Computer programs
LIBRARY OF CONGRESS CLASSIFICATION
Class number
E-BOOK
PERSONAL NAME - SECONDARY RESPONSIBILITY
Araghinejad, Shahab
ORIGINATING SOURCE
Country
ایران
ELECTRONIC LOCATION AND ACCESS
Host name
9789400775053.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
9789400775053.pdf
Electronic Format Type
متن
old catalog
e
BL
1
a
Y
