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Springer Constructive Neural Networks - Studies in Computational Intelligence 258

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Description

Constructive Neural Networks presents a comprehensive collection of invited research examining constructive methods for neural network development, drawn from presentations at the 18th International Conference on Artificial Neural Networks (ICANN 2008) held in Prague in September 2008. This Springer publication focuses on constructive neural networks and incremental learning algorithms that offer a systematic alternative to traditional trial-and-error approaches for determining optimal neural architectures. The book explores methods that enable incremental neural network construction with reduced topology complexity, providing researchers and practitioners with evidence-based strategies for building efficient networks without exhaustive manual tuning.

Key Features

Springer-published academic text featuring research from ICANN 2008 conference presentations on constructive neural network methods.

Explores incremental learning algorithms that build neural networks systematically rather than through trial-and-error topology discovery.

Presents constructive approaches designed to reduce neural network complexity whilst maintaining performance.

Volume 258 in the Studies in Computational Intelligence series, targeting advanced researchers in AI and machine learning.

Collects invited works examining alternative neural architecture design methodologies from international conference contributors.

Product Specifications

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

Barcode

No barcode data available

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