A current-mode programmable and expandable Hamming neural network
Guoxing Li, Bingxue Shi · 2003
A current-mode programmable and expandable Hamming neural network with the ability to output the first K maximum matching currents from M ones in sorting order is put forward in this paper. The binary template can be programmable or learnable if needed in this network and the K maximum matching currents can be output in sorting order based on the switched-current technique, and its corresponding labels are also output in time sharing mode in the same time. The complexity of this network is just O(N) and its scale can be easily expanded. This network has been fabricated in a 1.2 /spl mu/m CMOS technology. Both Hspice simulation and experimental results of the prototype chip show good performance.