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- W4386004718 abstract "In this proposed work, the piecewise linear approximation technique has been used to get a simpler digitally implemented hardware, i.e., a biological neuron with a nonlinear activation function. This design included the sigmoidal function that has been utilized as an activation function. In this artificial model, the neuron is able to distinguish between the two input attributes in terms of their weights. The suggested digitally implemented neuron hardware could be utilized as a fundamental building component in the creation of a general digital network of neurons or neural networks. The inputs are formatted in a specified way, which is required for the piecewise linear approximation technique. The text of the paper includes an overview of the fundamental component required as well as issues encountered during the design of neuron architecture." @default.
- W4386004718 created "2023-08-20" @default.
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- W4386004718 date "2023-01-01" @default.
- W4386004718 modified "2023-10-12" @default.
- W4386004718 title "Behavioral Simulation of Biological Neuron Using VHDL" @default.
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- W4386004718 doi "https://doi.org/10.1007/978-981-99-3033-3_30" @default.
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