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Advances in Neural Networks - ISNN 2006
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Table of Contents

Neurobiological Analysis.- Theoretical Analysis.- Neurodynamic Optimization.- Learning Algorithms.- Model Design.- Kernel Methods.- ICA and BSS.- Data Preprocessing.

Reviews

From the reviews: "It addresses the domain of artificial Intelligence (AI) and presents state-of-the-art research, development, and education in the field. … a useful resource for scientists and educators interested in the field of NN systems … . gives the reader a sense of the applications and challenges of the filed, and provides an extensive bibliography for further investigation. … The collection offers a broad perspective on a topic that is widely discussed and underlines many of its applications. This makes it highly recommendable to the AI community." (M. Caramihai, Computing Reviews, December, 2006)

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