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- W2076043640 abstract "This paper presents an efficient parallel architecture for Kohonen's Self Organizing Map Neural Networks (SOM) and analyzes the area–time complexities. The proposed SIMD architecture for the SOM facilitates its use in real-time applications like video processing. The operations of norm computation and weight update are done by the individual neurons and that of winner determination is carried out by a global, serial or parallel logic. Two methods for winner determination are presented and their time, area and networking complexities are studied. Optimal techniques for the retrieval of the winner's index are also proposed for the two methods and their complexities are investigated." @default.
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- W2076043640 date "2002-12-01" @default.
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- W2076043640 title "Area–time issues in the VLSI implementation of self organizing map neural networks" @default.
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- W2076043640 doi "https://doi.org/10.1016/s0141-9331(02)00065-0" @default.
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