A reconfigurable SATLIN/SIGMOID/Gaussian/Triangular basis functions computation circuit
Abstract—A CMOS Satlin/Sigmoid/Gaussian/Triangular Basis functions computation circuit suitable for analog neural networks is proposed. The circuit can be configured to realize any of the four functions. The circuit can approximate these functions with relative root-mean-square error less than 1%. I...
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| Format: | article |
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2006
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/314/1/a_reconfigurable_satlin_sigmoid_gaussian_abuelma_ati_isip_000246793200293.pdf |
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