£108.45

Springer Innovations in Neural Information Paradigms - Vol 247

23 black & white tables, biography

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Description

Explore the latest developments in artificial intelligence with Innovations in Neural Information Paradigms and Applications. As part of the Studies in Computational Intelligence series (Volume 247), this Springer publication examines the rapid progress occurring across multiple sectors. From engineering and science to healthcare, business, and avionics, the evolution of AI paradigms is driving significant change. This text focuses on the growing research interest in neural information processing. It addresses the goal of designing machines that can mimic human behavior in a limited capacity. By studying machine learning and how it borrows features from human intelligence, researchers can apply these concepts as computer-friendly algorithms. This book serves as a resource for understanding how these computational intelligence models are being integrated into modern technology and management systems.

Key Features

Covers advancements in AI paradigms across engineering, science, healthcare, and business sectors.

Provides research insights into neural information processing and machine learning models.

Explores the development of machines designed to mimic human behavior through computational intelligence.

Part of the respected Studies in Computational Intelligence series, Volume 247 by Springer.

Examines how human intelligence features are applied as computer-friendly algorithms.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
16 October 2009
Listed Since
24 July 2009

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