To get a clearer grip on what that something is, we need to understand what happens when we change between fuzzy values and ...
Abstract: The brain-inspired Spiking Neural Network (SNN) has great potential to reduce energy consumption in AI applications. However, the state-of-the-art SNN algorithms focus on high accuracy and ...
Abstract: The Kriging model has been widely used in regression-based surrogate-assisted evolutionary algorithms (SAEAs) for expensive multiobjective optimization by using one model to approximate one ...
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