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 (ULTIKOS) supports the preprocessing of the input data and the control and assessment of the learning process.
Cite
CITATION STYLE
Speckmann, H., Thole, P., & Rosenstiel, W. (1993). COprocessor for KOhonen’s Selforganizing map (COKOS). In Proceedings of the International Joint Conference on Neural Networks (Vol. 2, pp. 1951–1954). Publ by IEEE. https://doi.org/10.1109/ijcnn.1993.717038
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
