Abstract: The existing classification of time-series data has difficulties that traditional methodologies struggle to address, such as complexity and dynamic variation. Difficulty with pattern ...
Abstract: Multipliers are essential in implementing nonlinear neuron models, but they take huge implementation costs. Many multiplierless fitting schemes have been proposed to simplify the ...
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