| Pt. I | | Introduction to AI for Environmental Science | | |
| 1 | | Environmental Science Models and Artificial Intelligence by Sue Ellen Haupt and Valliappa Lakshmanan and Caren Marzban and Antonello Pasini and John K. Williams | | 3 |
| 2 | | Basic Statistics and Basic AI: Neural Networks by Caren Marzban | | 15 |
| 3 | | Performance Measures and Uncertainty by Caren Marzban | | 49 |
| 4 | | Decision Trees by G. R. Dattatreya | | 77 |
| 5 | | Introduction to Genetic Algorithms by Sue Ellen Haupt | | 103 |
| 6 | | Introduction to Fuzzy Logic by John K. Williams | | 127 |
| 7 | | Missing Data Imputation Through Machine Learning Algorithms by Michael B. Richman and Theodore B. Trafalis and Indra Adrianto | | 153 |
| Pt. II | | Applications of AI in Environmental Science | | |
| 8 | | Nonlinear Principal Component Analysis by William W. Hsieh | | 173 |
| 9 | | Neural Network Applications to Solve Forward and Inverse Problems in Atmospheric and Oceanic Satellite Remote Sensing by Vladimir M. Krasnopolsky | | 191 |
| 10 | | Implementing a Neural Network Emulation of a Satellite Retrieval Algorithm by George S. Young | | 207 |
| 11 | | Neural Network Applications to Developing Hybrid Atmospheric and Oceanic Numerical Models by Vladimir M. Krasnopolsky | | 217 |
| 12 | | Neural Network Modeling in Climate Change Studies by Antonello Pasini | | 235 |
| 13 | | Neural Networks for Characterization and Forecasting in the Boundary Layer via Radon Data by Antonello Pasini | | 255 |
| 14 | | Addressing Air Quality Problems with Genetic Algorithms: A Detailed Analysis of Source Characterization by Sue Ellen Haupt and Christopher T. Allen and George S. Young | | 269 |
| 15 | | Reinforcement Learning of Optimal Controls by John K. Williams | | 297 |
| 16 | | Automated Analysis of Spatial Grids by Valliappa Lakshmanan | | 329 |
| | More... | | |
| | | Glossary | | 413 |