Artificial Intelligence Methods in the Environmental Sciences Book

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