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Efficient methods of initializing neuron weights in self-organizing networks implemented in hardware.

, , , and . Appl. Math. Comput., (2018)

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Efficient methods of initializing neuron weights in self-organizing networks implemented in hardware., , , and . Appl. Math. Comput., (2018)Parallel, Asynchronous Winner Selection Circuit for Hardware Implemented Self-Organizing Maps., , and . MIXDES, page 184-187. IEEE, (2018)Parallel Programmable Asynchronous Neighborhood Mechanism for Kohonen SOM Implemented in CMOS Technology., , , and . IEEE Trans. Neural Networks, 22 (12): 2091-2104 (2011)Programmable triangular neighborhood functions of Kohonen Self-Organizing Maps realized in CMOS technology., , and . ESANN, (2010)Fisherman learning algorithm of the SOM realized in the CMOS technology., , and . ESANN, (2011)An efficient initialization mechanism of neurons for Winner Takes All Neural Network implemented in the CMOS technology., , , and . Appl. Math. Comput., (2015)Parallel asynchronous neighborhood mechanism for WTM Kohonen network implemented in CMOS technology., and . ESANN, page 331-336. (2008)Analog Programmable Distance Calculation Circuit for Winner Takes All Neural Network Realized in the CMOS Technology., , , and . IEEE Trans. Neural Networks Learn. Syst., 27 (3): 661-673 (2016)Implementation Issues of Kohonen Self-Organizing Map Realized on FPGA., , , , and . ESANN, (2012)Hardware Implementation Issues of the Neighborhood Mechanism in Kohonen Self Organized Feature Maps., and . ESANN, (2009)