Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models

Discover the groundbreaking insights of Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models by A.A. Jamberie, published by A A Balkema Publishers in 2004. This compelling work spans 198 pages and delves into the critical challenge of minimizing discrepancies between physically-based models and real-world processes. By addressing the mismatch between predictions and observations, Jamberie introduces a complementary modeling approach that enhances the accuracy of various hydrodynamic and hydrological models. This book is an essential resource for professionals in civil engineering, artificial intelligence, and environmental science, providing valuable tools for effective systems analysis and design. Whether you're a researcher or a practitioner, this text offers innovative solutions to manage uncertainty in complex modeling scenarios.