【2013】Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering
Book 图书名称：Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering
Author 作者：Shahab Araghinejad
Publisher 出版社：Springer Netherlands
Page 页数：292
Publishing Date 出版时间：Nov, 2013
Language 语言：English
Size 大小：4 MB
Format 格式：pdf 文字版
ISBN:
Edition: 第1版搜索过论坛，没有该文档
“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.
== Table of contents ==
Front Matter....Pages i-xiii
Introduction....Pages 1-14
Basic Statistics....Pages 15-47
Regression-Based Models....Pages 49-83
Time Series Modeling....Pages 85-137
Artificial Neural Networks....Pages 139-194
Support Vector Machines....Pages 195-211
Fuzzy Models....Pages 213-251
Hybrid Models and Multi-model Data Fusion....Pages 253-265
Back Matter....Pages 267-292
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