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Modeller for Value Systems
(1997)
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.
Performance Investigations of the IP Multicast Architecture / Hermanns, Oliver ; Schuba, Marko
(1995)
The double-LNN Calibration technique for scattering parameter measurements of microstrip devices
(1995)
Novel Algorithms for FMCW Range Finding with Microwaves. Stolle, R.; Heuermann, H.; Schiek, B.
(1995)
Scattering Parameter Measurements of Microstrip Devices using the Double-LNN Calibration Technique
(1994)
Procedures for the Determination of the Scattering Parameters for Network Analyzer Calibration
(1993)
Dielectric Properties of Polyolefins Stressed by High Electrical Fields / Fruth, B. ; Krause, G.
(1988)
Dielectric Properties of Polyolefins Stressed by High Electrical Fields. Fruth, B. ; Krause, G.
(1987)
Grain boundary and surface segragation of Ba-Ti-O-Phases in rutile. O´Bryan, H. M.; Hagemann, H. J.
(1987)