Computational Intelligence Techniques in Earth and Environmental Sciences

This book PDF is perfect for those who love Science genre, written by Tanvir Islam and published by Springer Science & Business Media which was released on 14 February 2014 with total hardcover pages 266. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Computational Intelligence Techniques in Earth and Environmental Sciences books below.

Computational Intelligence Techniques in Earth and Environmental Sciences
Author : Tanvir Islam
File Size : 41,8 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 14 February 2014
ISBN : 9789401786423
Pages : 266 pages
Get Book

Computational Intelligence Techniques in Earth and Environmental Sciences by Tanvir Islam Book PDF Summary

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 include artificial neural networks, support vector machines, fuzzy logic, decision-making algorithms, supervised and unsupervised classification algorithms, probabilistic computing, hybrid methods and morphic computing. Further topics given treatment in this volume include remote sensing, meteorology, atmospheric and oceanic modeling, climate change, environmental engineering and management, catastrophic natural hazards, air and environmental pollution and water quality. 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.

Computational Intelligence Techniques in Earth and Environmental Sciences

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

Get Book
Artificial Intelligence Methods in the Environmental Sciences

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. Part I contains a

Get Book
Computers in Earth and Environmental Sciences

Computers in Earth and Environmental Sciences: Artificial Intelligence and Advanced Technologies in Hazards and Risk Management addresses the need for a comprehensive book that focuses on multi-hazard assessments, natural and manmade hazards, and risk management using new methods and technologies that employ GIS, artificial intelligence, spatial modeling, machine learning tools

Get Book
Artificial Intelligence Methods in the Environmental Sciences

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. Part I contains a

Get Book
The Application of Neural Networks in the Earth System Sciences

This book brings together a representative set of Earth System Science (ESS) applications of the neural network (NN) technique. It examines a progression of atmospheric and oceanic problems, which, from the mathematical point of view, can be formulated as complex, multidimensional, and nonlinear mappings. It is shown that these problems

Get Book
Computational Intelligence for Water and Environmental Sciences

This book provides a comprehensive yet fresh perspective for the cutting-edge CI-oriented approaches in water resources planning and management. The book takes a deep dive into topics like meta-heuristic evolutionary optimization algorithms (e.g., GA, PSA, etc.), data mining techniques (e.g., SVM, ANN, etc.), probabilistic and Bayesian-oriented frameworks, fuzzy

Get Book
Machine Learning Methods in the Environmental Sciences

A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.

Get Book
Artificial Intelligence and the Environmental Crisis

A radical and challenging book which argues that artificial intelligence needs a completely different set of foundations, based on ecological intelligence rather than human intelligence, if it is to deliver on the promise of a better world. This can usher in the greatest transformation in human history, an age of

Get Book