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Author:   Shahab Araghinejad
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of the original 1st ed. 2014
Volume:   67
Weight:   5.247kg
ISBN:  

9789402405897

ISBN 10:   9402405895
Pages:   292
Publication Date:   30 April 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface 1. Introduction 1.1. Introduction 1.2. Types of Models 1.3. Spatiotemporal Complexity of a Model 1.4. Model Selection 1.5. General Approach to Develop a Data-Driven Model 1.6. Beyond Developing a Model   2.  Basic Statistics 2.1.  Introduction 2.2. Basic Definitions 2.3. Graphical Demonstration of Data 2.4. Probability Distribution Functions 2.5. Frequency Analysis 2.6. Hypothetical Tests 2.7.  Summary of Chapter 2  3.  Regression Based Models 3.1. Introduction 3.2. Linear Regression 3.3.  Nonlinear Regression 3.4.  Nonparametric Regression 3.5.  Logistic Regression 3.6.  Summary of Chapter 3   4.   Time Series Modeling 4.1.  Introduction 4.2.  Time Series Analysis 4.3.  Time Series Models 4.4.  Summary of Chapter 4  5.  Artificial Neural Networks 5.1. Introduction 5.2. Basic Definitions 5.3. Types of Artificial Neural Networks 5.4. Summary of Chapter 5  6.  Support Vector Machines 6.1. Introduction 6.2. Support Vector Machines for Classification 6.3.  Support Vector Machines for Regression  7.  Fuzzy Models 7.1.   Introduction 7.2.  Supportive information 7.3.  Fuzzy Clustering 7.4.  Fuzzy Inference System 7.5.  Adaptive Neuro-Fuzzy Inference System 7.6.  Fuzzy Regression 7.7. Summary of Chapter 7  8. Hybrid Models and Multi Model Data Fusion 8.1  Introduction 8.2  Characteristics of the Models 8.3  Examples of Hybrid Models  8.4  Multi-model data fusion Appendix Basic Commands in MATLAB Index   

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Dr. Shahab Araghinejad is Assistant Professor in the Department of Irrigation and Reclamation Engineering, at the College of Agriculture & Natural Resources of the University of Tehran, Iran.

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