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Springer - Artificial Intelligence and Dynamic Systems Book

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Description

Explore the integration of advanced computing and Earth science in Artificial Intelligence and Dynamic Systems for Geophysical Applications by Springer. This technical resource provides deep insights into new clustering schemes, dynamical systems, and pattern recognition algorithms. It is specifically designed for use in geophysical, geodynamical, and natural hazard applications. The mathematical framework presented in this book is built upon both classical and fuzzy sets models. While the primary focus remains on Earth science and natural hazards, the artificial intelligence techniques described are versatile and can be applied to fields far beyond geophysics. This makes it a valuable asset for those looking to understand how complex mathematical models solve real-world physical problems. Whether you are a research scientist, a graduate student, or an engineer, this book offers the technical depth required to master these evolving methodologies. It serves as a comprehensive guide for anyone studying the intersection of machine learning and geodynamical systems.

Key Features

Covers new clustering schemes and pattern recognition algorithms designed for geophysical and geodynamical applications.

Uses original mathematical techniques based on both classical and fuzzy sets models for complex data analysis.

Provides specialized knowledge for managing and predicting natural hazard applications through advanced computing.

Offers versatile artificial intelligence techniques that extend beyond Earth science into various other scientific fields.

Designed as a professional resource for research scientists, tutors, engineers, and graduate students.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 December 2010
Listed Since
20 September 2010

Barcode

No barcode data available

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