Neuromorphic Systems Engineering

Name: Neuromorphic Systems Engineering
Brand: Springer
SKU: 9780792381587
Price: 894.0 RON
Availability: InStock

Neural Networks in Silicon

Autor: Tor Sverre Lande

Limbă:

Legare: Copertă tare

Editura: Springer

Disponibilitate: În depozitul extern în cantități mici

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Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of t...

Informații despre carte

Autor

Tor Sverre Lande

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

1998

Pagini

462

EAN

9780792381587

ISBN

0792381580

Enbook ID

01397462

Editura

Springer

Greutate

1880

Dimensiuni

155 x 235 x 32

Descriere completă

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 Pds. /LIST Pds. 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.

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Neuromorphic Systems Engineering

Neural Networks in Silicon

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