Neural Networks

Name: Neural Networks
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642875984
Price: 1147 CZK
Availability: InStock

Proceedings of the School on Neural Networks June 1967 in Ravello

Autor: E. R. Caianiello

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostupnost: Skladem u dodavatele

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Sciences may be nowadays grouped into three classes, having as their subjects of study respectively...

Informace o knize

Autor

E. R. Caianiello

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2012

Stránek

190

EAN

9783642875984

ISBN

364287598X

Enbook ID

05183214

Vydavatel

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Hmotnost

355

Rozměry

170 x 244 x 12

Kompletní popis

Sciences may be nowadays grouped into three classes, having as their subjects of study respectively Matter, Life and Intelligence. That "Intelligence" may be studied in a quantitative manner is a discovery of our age, not less significant in many ways than the 17th ceiltury realization that celestial phenomena are of one and the same nature as terrestrial and all other physical accidents. As the latter was accomplished through and accompanied by a major revolution in philosophy and method, so is now the scientific investigation of intelligent phenomena - although harely begun - already causing an unprecedented revolution in all our previous conceptions as mind and machine, society and organization. What electronic com puters have already accomplished in disclosing perspectives to sciences and imposing new approached to management is but a negligible change, if compared to those yet in store, which will closely follow the understanding of the many as yet unknown functional principles which make nervous systems act and react the way they do. The study of Neural Networks is the key point in the systematic quantitative investigation of such phenomena. With patience and humility, neuroanatomists and physiologists try to connect structure with function in systems of neurons which are "simple" enough to be studied with the extant techniques, either because of the paucity of their elements or because of the high degree of symmetry these possess (e. g.

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Neural Networks

Proceedings of the School on Neural Networks June 1967 in Ravello

Informace o knize

Kompletní popis

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