2009

Artificial Intelligence Methods in the Environmental Sciences

Editors:

ISBN: 978-1-4020-9117-9 (Print) 978-1-4020-9119-3 (Online)

Table of contents (19 chapters)

  1. Front Matter

    Pages i-viii

  2. Introduction to AI for Environmental Science

    1. No Access

      Book Chapter

      Pages 3-13

      Environmental Science Models and Artificial Intelligence

    2. No Access

      Book Chapter

      Pages 15-47

      Basic Statistics and Basic AI: Neural Networks

    3. No Access

      Book Chapter

      Pages 49-75

      Performance Measures and Uncertainty

    4. No Access

      Book Chapter

      Pages 77-101

      Decision Trees

    5. No Access

      Book Chapter

      Pages 103-125

      Introduction to Genetic Algorithms

    6. No Access

      Book Chapter

      Pages 127-151

      Introduction to Fuzzy Logic

    7. No Access

      Book Chapter

      Pages 153-169

      Missing Data Imputation Through Machine Learning Algorithms

  3. Applications of AI in Environmental Science

    1. No Access

      Book Chapter

      Pages 173-190

      Nonlinear Principal Component Analysis

    2. No Access

      Book Chapter

      Pages 191-205

      Neural Network Applications to Solve Forward and Inverse Problems in Atmospheric and Oceanic Satellite Remote Sensing

    3. No Access

      Book Chapter

      Pages 207-216

      Implementing a Neural Network Emulation of a Satellite Retrieval Algorithm

    4. No Access

      Book Chapter

      Pages 217-234

      Neural Network Applications to Developing Hybrid Atmospheric and Oceanic Numerical Models

    5. No Access

      Book Chapter

      Pages 235-254

      Neural Network Modeling in Climate Change Studies

    6. No Access

      Book Chapter

      Pages 255-268

      Neural Networks for Characterization and Forecasting in the Boundary Layer via Radon Data

    7. No Access

      Book Chapter

      Pages 269-296

      Addressing Air Quality Problems with Genetic Algorithms: A Detailed Analysis of Source Characterization

    8. No Access

      Book Chapter

      Pages 297-327

      Reinforcement Learning of Optimal Controls

    9. No Access

      Book Chapter

      Pages 329-346

      Automated Analysis of Spatial Grids

    10. No Access

      Book Chapter

      Pages 347-377

      Fuzzy Logic Applications

    11. No Access

      Book Chapter

      Pages 379-395

      Environmental Optimization: Applications of Genetic Algorithms

    12. No Access

      Book Chapter

      Pages 397-411

      Machine Learning Applications in Habitat Suitability Modeling

  4. Back Matter

    Pages 413-424