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Springer Innovations in Neural Information Paradigms - Vol 247

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Description

Explore the latest developments in artificial intelligence with Innovations in Neural Information Paradigms and Applications, part of the Studies in Computational Intelligence series (Volume 247). This Springer publication examines how neural information processing paradigms drive progress across engineering, science, health care, business, avionics, and management. As researchers seek to design machines that mimic human behavior, this text addresses the growing interest in machine learning. It explores how borrowing features from human intelligence and applying them as computer-friendly algorithms involves complex mathematics and computational methods. This volume serves as a resource for understanding the artificial intelligence paradigms that contribute to modern technological advances.

Key Features

Part of the Studies in Computational Intelligence series, specifically volume 247.

Published by Springer to cover advanced artificial intelligence paradigms.

Covers applications in diverse fields including engineering, science, and health care.

Examines machine learning techniques that mimic human behavior for computer applications.

Provides insight into the mathematical aspects of neural information processing.

Product Specifications

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

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