Neural Networks and Analog Computation: Beyond the Turing Limit (Progress in Theoretical Computer Science)

Siegelmann, Hava T.

ISBN 10: 1461268753 / ISBN 13: 9781461268758

Edité par Birkhäuser, 2012

A propos de cet article

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N° de réf. du vendeur ERICA77314612687536

Détails bibliographiques

• Titre: Neural Networks and Analog Computation: Beyond the Turing Limit (Progress in Theoretical Computer Science)
• Éditeur: Birkhäuser
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 1461268753
• ISBN à 13 chiffres: 9781461268758
• Reliure: Paperback
• État de l'article: Like New
• Type de livre: book

A propos de ce titre

Synopsis

The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a particular type of computer consisting of multiple assemblies of basic processors interconnected in an intricate structure. Examining these networks under various resource constraints reveals a continuum of computational devices, several of which coincide with well-known classical models. On a mathematical level, the treatment of neural computations enriches the theory of computation but also explicated the computational complexity associated with biological networks, adaptive engineering tools, and related models from the fields of control theory and nonlinear dynamics. The material in this book will be of interest to researchers in a variety of engineering and applied sciences disciplines. In addition, the work may provide the base of a graduate-level seminar in neural networks for computer science students.