Table of Contents

Environmental Science Models and Artificial Intelligence; Basic Statistics and Basic AI: Neural Networks; Performance Measures and Uncertainty; Decision Trees; Introduction to Genetic Algorithms; Introduction to Fuzzy Logic; Missing Data Imputation Through Machine Learning Algorithms; Nonlinear Principal Component Analysis; Neural Network Applications to Solve Forward and Inverse Problems in Atmospheric and Oceanic Satellite Remote Sensing; Implementing a Neural Network Emulation of a Satellite Retrieval Algorithm. 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 (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic.