"A reconfigurable Gaussian/Triangular basis functions computation circuit"
A CMOS Gaussian/Triangular Basis functions computation circuit suitable for analog neural networks is proposed. The circuit can be configured to realize any of the two functions. The circuit can approximate these functions with relative root-mean-square error less than 1%. It is shown that the cente...
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| Format: | article |
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2006
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/924/1/a_reconfigurable_gaussian_triangular_bas_abuelma_ati_isi_000236031400006.pdf |
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