Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Abstract: The sigmoid function, as a widely used activation function in neural networks, has gained much attention for its approximation and associated usage in edge devices. A recent study applied ...
Abstract: To improve the steady-state and dynamic performance of cascaded H-bridge multilevel inverters (CHBMIs) and achieve power balance, this paper proposes a control method based on the sigmoid ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results