Anbieter: Ammareal, Morangis, Frankreich
Hardcover. Zustand: Bon. Ancien livre de bibliothèque avec équipements. Edition 2004. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2004. Ammareal gives back up to 15% of this item's net price to charity organizations.
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
EUR 47,36
Anzahl: 1 verfügbar
In den WarenkorbZustand: Used. pp. 260 Illus.
Zustand: Used. pp. 260.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 60,28
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2004
ISBN 10: 3540421637 ISBN 13: 9783540421634
Anbieter: moluna, Greven, Deutschland
EUR 61,47
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In den WarenkorbZustand: New. The synergetic computer has found many applications. This book is the classical text by Haken who invented this conceptThis book presents a novel approach to neural nets and thus offers a genuine alternative to the hitherto known neuro-compute.
Sprache: Englisch
Verlag: Springer, Berlin, Springer Berlin Heidelberg, Springer, 2004
ISBN 10: 3540421637 ISBN 13: 9783540421634
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - The first edition of this book has found great interest among scientists and en gineers dealing with pattern recognition and among psychologists working on psychophysics or Gestalt psychology. This book also proved highly useful for graduate students of informatics. The concept of the synergetic computer offers an important alternative to the by now more traditional neural nets. I just mention a few advantages: There are no ghost states so that time-consuming methods such as simulated annealing can be avoided; the synaptic strengths are explicitly determined by the prototype patterns to be stored, but they can equally well be learned, and the learning procedure allows a classification. Also a precise meaning and function can be attributed to 'hidden variables'. The synergetic computer has found a number of important practical applications in industry. I use the opportunity of this second edition to include a new section on transfor mation properties of the equations of the synergetic computer and on the invariance properties of its order parameter equations. A new section is devoted to the problem of stereopsis that is dealt with by the basic concept of the synergetic computer. Finally, attention is paid to a recent de velopment, namely to the use of pulse-coupled neural nets for pattern recognition.