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This paper addresses the pixel based recognition of 3D objects with bidirectional associative memories. Computational power and memory requirements for this approach are identified and compared to the performance of current computer architectures by benchmarking different processors. It is shown, that the performance of special purpose hardware, like neurocomputers, is between one and two orders of magnitude higher than the performance of mainstream hardware. On the other hand, the calculation of small neural networks is performed more efficiently on mainstream processors. Based on these results a novel concept is developed, which is tailored for the efficient calculation of bidirectional associative memories. The computational efficiency is further enhanced by the application of algorithms and storage techniques which are matched to characteristics of the application at hand.
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(1994)
Auslegung der CFK-Sandwich-Rumpfstruktur eines Hubschraubers mit der Methode der Finiten Elemente
(1994)
Globale Betrachtung regenerativer Energieressourcen und deren technische Nutzungsmöglichkeiten
(1992)
Die Arbeitsgemeinschaft Solar Nordrhein-Westfalen, Schwerpunkt B: Dezentrale Energietechnologien
(1992)
PV-transmitter and receiver
(1992)
Modenfilter als Schalldämpfer für axiale Turbomaschinen : Möglichkeiten und Grenzen des Einsatzes
(1992)
Plasma-Spritzen
(1991)
A novel solar sterilization and water destillation system : experiment and thermodynamic analysis
(1991)
Biomasse-Potential
(1985)
Andere Primärenergiequellen
(1974)