Conditional advancement of machine learning algorithm via fuzzy neural network

Kevin Bronik, Le Zhang

Abstract: Highlights•We propose a nonlinear identification method in conjunction with evaluating any CNN models.•Such fuzzy system can be used to model any nonlinear functions with reasonable complexity.•Our proposed nonlinear function could be added directly to any loss to generate model optimization.

External IDs:doi:10.1016/j.patcog.2024.110732