A scalable processor array for self-organizing feature maps
- 23 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 10861947,p. 285-291
- https://doi.org/10.1109/mnnfs.1996.493804
Abstract
Selforganizing Feature Maps (SOFMs) can be applied for data analysis, controlling problems and pattern matching. In many cases the requirements of a system using these maps are high performance and small physical size. This leads to the necessity of custom chip designs. In this paper two chips are presented, that realize a scalable processor array for self-organizing feature maps. First the design and test results of a single processor chip are described. Based on these results a second chip has been developed implementing a 5 by 5 array of elements. Each processor has on-chip memory to store 64 weights of 8 bit. The calculation unit has an internal precision of 14 bit. An input pattern can have 64 vector components of 8 bit. In order to achieve high speed, all elements work in parallel. Several of this chips can be cascaded to larger map sizes in a system.Keywords
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- A chip for self-organizing feature mapsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002