Computational Intelligence Techniques in Earth and Environmental Sciences Computational Intelligence Techniques in Earth and Environmental Sciences

Computational Intelligence Techniques in Earth and Environmental Sciences

Tanvir Islam e altri
    • 87,99 €
    • 87,99 €

Descrizione dell’editore

Computational intelligence techniques have enjoyed growing interest in recent decades among the earth and environmental science research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward a sustainable earth. This book compiles a collection of recent developments and rigorous applications of computational intelligence in these disciplines. Techniques covered are divided into three categories - classical intelligence techniques, probabilistic and transforms intelligence techniques, and hybrid intelligence techniques. Further topics given treatment in this volume include meteorology, atmospheric modeling, climate change, water resources engineering, and hydrological modeling.

By linking computational intelligence techniques with earth and environmental science oriented problems, this book promotes synergistic activities among scientists and technicians working in areas such as data mining and machine learning. We believe that a diverse group of academics, scientists, environmentalists, meteorologists, and computing experts with a common interest in computational intelligence techniques within the earth and environmental sciences will find this book to be of great value.

GENERE
Scienza e natura
PUBBLICATO
2014
14 febbraio
LINGUA
EN
Inglese
PAGINE
281
EDITORE
Springer Netherlands
DIMENSIONE
6
MB

Altri libri di Tanvir Islam, Prashant K. Srivastava, Manika Gupta, Xuan Zhu & Saumitra Mukherjee

Radar Remote Sensing Radar Remote Sensing
2022
Remote Sensing of Hydrometeorological Hazards Remote Sensing of Hydrometeorological Hazards
2017
Remote Sensing of Aerosols, Clouds, and Precipitation Remote Sensing of Aerosols, Clouds, and Precipitation
2017
Remote Sensing Applications in Environmental Research Remote Sensing Applications in Environmental Research
2014