Abstract
In this paper we present a system which enables easy and fast computation of Kohonen’s selforganizing map (SOM). It is a hardware supported system consisting of different parts. A neural coprocessor (COKOS) is connected to a personal computer (PC) by a special, asynchronous interface. The neural coprocessor works vector-component-parallel and processing-element-serial and speeds up the performance of Kohonen’s algorithm of the selforganizing map by magnitude. An userfriendly interface supports the preprocessing of the input data and the control and assessment of the learning process.
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© 1993 Springer-Verlag London Limited
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Speckmann, H., Thole, P., Rosenstiel, W. (1993). COKOS: A COprocessor for KOhonen’s Selforganizing Map. In: Gielen, S., Kappen, B. (eds) ICANN ’93. ICANN 1993. Springer, London. https://doi.org/10.1007/978-1-4471-2063-6_309
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DOI: https://doi.org/10.1007/978-1-4471-2063-6_309
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