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Springer Constructive Neural Networks - Studies in Comp Intelligence

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Description

Constructive Neural Networks (Studies in Computational Intelligence, 258) provides a specialized look into advanced neural network design. This volume features invited works focused on constructive methods and incremental learning algorithms. These techniques offer a functional alternative to the traditional trial-and-error approach used to determine neural architectures. Based on a special session from the 18th International Conference on Artificial Neural Networks (ICANN 2008) in Prague, this book explores how to build neural networks through incremental processes. By focusing on these methods, researchers can develop networks with reduced topologies, moving away from standard trial-and-error methods toward more structured, constructive approaches to machine learning and artificial intelligence.

Key Features

Focuses on constructive neural network methods as an alternative to standard trial-and-error architecture discovery.

Explores incremental learning algorithms designed to build neural networks with reduced topologies.

Contains invited works presented at the 18th International Conference on Artificial Neural Networks (ICANN 2008).

Part of the Studies in Computational Intelligence series, volume 258, published by Springer.

Provides technical insights into building more efficient neural architectures through incremental processes.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 October 2009
Listed Since
12 August 2009

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No barcode data available

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