The data were classified using the grid partition method and the MF (membership function) type was dsigmf (difference between two sigmoidal membership functions). By achieving the appropriate intelligence in the ANFIS method, output prediction was performed at the points of cavity which were not ...
The sigmoid function plays an important role as an activation function in deep learning, and it is currently the subject of active study; see [15,16]. For instance, Narayan [17] used generalized nonlinear and differential sigmoid activation functions in a multilayer perceptron (MLP) network to ...
realized mid-infrared output using DFG between the SF pump source and signal source [6]. Both sources were multi-stage amplified, which increased the damage risk and the complexity of the system. Meanwhile, the conversion efficiency was relatively low, where a 62.4 mW idler power was obtained ...