Name: Neuromorphic Systems Engineering: Neural Networks in Silicon (en Inglés)
SKU: 58675717
Price: 2766.94 MXN
Availability: InStock
Author: Lande, Tor Sverre
ISBN: 9781475782981

portada Neuromorphic Systems Engineering: Neural Networks in Silicon (en Inglés)

Neuromorphic Systems Engineering: Neural Networks in Silicon (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Lande, Tor Sverre

Idioma

Inglés

N° páginas

462

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x2.5 cm

Peso

0.67 kg.

ISBN13

9781475782981

Categorías

Ingeniería eléctrica
Arquitectura y diseño lógico de ordenadores
Redes neuronales y sistemas difusos

Neuromorphic Systems Engineering: Neural Networks in Silicon (en Inglés)

Lande, Tor Sverre (Autor) · Springer · Tapa Blanda

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Reseña del libro "Neuromorphic Systems Engineering: Neural Networks in Silicon (en Inglés)"

Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include: large scale analog systems in silicon neuromorphic silicon auditory (ear) and vision (eye) systems in silicon learning and adaptation in silicon merging biology and technology micropower analog circuit design analog memory analog interchipcommunication on digital buses /LIST Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject.