Artificial Intelligence Methods in the Environmental Sciences / Edition 1

Artificial Intelligence Methods in the Environmental Sciences / Edition 1

by Sue Ellen Haupt, Antonello Pasini, Caren Marzban
     
 

ISBN-10: 1402091184

ISBN-13: 9781402091186

Pub. Date: 11/28/2008

Publisher: Springer Netherlands

How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence techniques, including: neural networks, decision trees, genetic algorithms, fuzzy logic. Part I contains a series of…  See more details below

Overview

How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence techniques, including: neural networks, decision trees, genetic algorithms, fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems.

Product Details

ISBN-13:
9781402091186
Publisher:
Springer Netherlands
Publication date:
11/28/2008
Edition description:
2009
Pages:
424
Product dimensions:
7.60(w) x 10.20(h) x 0.80(d)

Table of Contents

Part I Introduction to AI for Environmental Science

1 Environmental Science Models and Artificial Intelligence Sue Ellen Haupt Valliappa Lakshmanan Caren Marzban Antonello Pasini John K. Williams 3

2 Basic Statistics and Basic AI: Neural Networks Caren Marzban 15

3 Performance Measures and Uncertainty Caren Marzban 49

4 Decision Trees G. R. Dattatreya 77

5 Introduction to Genetic Algorithms Sue Ellen Haupt 103

6 Introduction to Fuzzy Logic John K. Williams 127

7 Missing Data Imputation Through Machine Learning Algorithms Michael B. Richman Theodore B. Trafalis Indra Adrianto 153

Part II Applications of AI in Environmental Science

8 Nonlinear Principal Component Analysis William W. Hsieh 173

9 Neural Network Applications to Solve Forward and Inverse Problems in Atmospheric and Oceanic Satellite Remote Sensing Vladimir M. Krasnopolsky 191

10 Implementing a Neural Network Emulation of a Satellite Retrieval Algorithm George S. Young 207

11 Neural Network Applications to Developing Hybrid Atmospheric and Oceanic Numerical Models Vladimir M. Krasnopolsky 217

12 Neural Network Modeling in Climate Change Studies Antonello Pasini 235

13 Neural Networks for Characterization and Forecasting in the Boundary Layer via Radon Data Antonello Pasini 255

14 Addressing Air Quality Problems with Genetic Algorithms: A Detailed Analysis of Source Characterization Sue Ellen Haupt Christopher T. Allen George S. Young 269

15 Reinforcement Learning of Optimal Controls John K. Williams 297

16 Automated Analysis of Spatial Grids Valliappa Lakshmanan 329

17 Fuzzy Logic Applications John K. Williams Cathy Kessinger Jennifer Abernethy Scott Ellis 347

18 EnvironmentalOptimization: Applications of Genetic Algorithms Sue Ellen Haupt 379

19 Machine Learning Applications in Habitat Suitability Modeling Saso Dzeroski 397

Glossary 413

Index 421

Read More

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >