LNCS 2834 Pattern Classification with Parallel Processing of the Cellular Neural Networks Based Dynamic Programming 1st edition by Hyongsuk Kim, Taewan Oh, Sangik Na, Changbae Yoon ISBN 3540200541 978-3540200543

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ISBN 10: 3540200541 
ISBN 13: 978-3540200543
Author:   Hyongsuk Kim, Taewan Oh, Sangik Na, Changbae Yoon 

LNCS 2834 – Pattern Classification with Parallel Processing of the Cellular Neural Networks-Based Dynamic Programming (1st Edition) by Hyongsuk Kim, Taewan Oh, Sangik Na, and Changbae Yoon is part of the Lecture Notes in Computer Science (LNCS) series, published by Springer in 2003. The work addresses the integration of cellular neural networks (CNNs) and dynamic programming (DP) for pattern classification, leveraging parallel processing to enhance performance.

The book discusses an advanced computational approach to pattern classification, a fundamental problem in areas like machine learning, image recognition, and signal processing. Pattern classification involves categorizing data into different classes based on features or attributes. This particular work focuses on combining two powerful methods—Cellular Neural Networks (CNNs) and Dynamic Programming (DP)—and exploring how parallel processing can significantly improve their efficiency, particularly for complex classification tasks.

LNCS 2834 – Pattern Classification with Parallel Processing of the Cellular Neural Networks-Based Dynamic Programming 1st Table of contents:

Architecture

Software and Theory

Grid and Network

Applied Technologies

Editors and Affiliations

Bibliographic Information

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