£146.74

Springer Foundations of Computational Intelligence Vol 5

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Description

Expand your technical knowledge with Foundations of Computational Intelligence Volume 5: Function Approximation and Classification. Published by Springer, this volume serves as a comprehensive resource for researchers and students interested in the mathematical roots of analysis and its application to modern computing. This edited volume contains 14 chapters, including several overview chapters that present state-of-the-art research. The content focuses on the theory and algorithms essential for function approximation and classification. By exploring how complex functions can be approximated by simpler, more easily calculated functions, this book provides a deep look into the mathematical foundations that drive computational intelligence. As the fifth volume in this specialized series, it offers updated perspectives on the evolving field of approximation theory. Whether you are studying the mathematical origins of analysis or looking for the latest algorithmic developments, this text provides the necessary academic depth to understand how functions are modeled and classified in complex systems.

Key Features

Includes 14 detailed chapters covering up-to-date research in computational intelligence.

Provides overview chapters to help readers navigate complex theories and algorithms.

Focuses on the essential mathematics of function approximation and classification.

Explores how to approximate complex functions using simpler, more efficient calculations.

Serves as the fifth volume in the established Studies in Computational Intelligence series.

Delivers state-of-the-art research on the theory and algorithms used in modern analysis.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 October 2014
Listed Since
28 October 2014

Barcode

No barcode data available

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