Adaptive Activation Functions
Neo-fuzzy-neuron
Introduced by Uchino et al. in Neo-fuzzy-neuron based new approach to system modeling, with application to actual systemNeo-fuzzy-neuron is a type of artificial neural network that combines the characteristics of both fuzzy logic and neural networks. It uses a fuzzy inference system to model non-linear relationships between inputs and outputs, and a feedforward neural network to learn the parameters of the fuzzy system. The combination of these two approaches provides a flexible and powerful tool for solving a wide range of problems in areas such as pattern recognition, control, and prediction.
Source: Neo-fuzzy-neuron based new approach to system modeling, with application to actual systemPapers
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