Impreions of paper reading 3
Recently, I have read an English scientific paper “A fast and accurate online self-organizing scheme for parsimonious fuzzy neural networks”.Through reading this paper, I know more about fuzzy neural networks.Next, I will introduce my thoughts about this article.
In this paper, the author present a fast and accurate online self-organizing scheme for parsimonious fuzzy neural networks , where a novel structure learning algorithm incorporating a pruning strategy into new growth criteria is developed.The proposed growing procedure without pruning not only speeds up the online learning proce but also facilitates a more parsimonious fuzzy neural network while achieving comparable performance and accuracy by virtue of the growing and pruning strategy.
The FAOS-PFNN starts with no hidden neurons and parsimoniously generates new hidden units according to the proposed growth criteria as learning proceeds.In the parameter learning phase, all the free parameters of hidden units, regardle of whether they are newly created or originally existing, are updated by the extended Kalman filter (EKF) method.
The effectivene and superiority of the FAOS-PFNN paradigm is compared with other popular approaches like resource allocation network (RAN), RAN via the extended Kalman filter (RANEKF), minimal resource allocation network (MRAN), adaptive-network-based fuzzy inference system (ANFIS), orthogonal least squares (OLS), RBF-AFS, dynamic fuzzy neural networks (DFNN), generalized DFNN (GDFNN), generalized GAP-RBF (GGAP-RBF), and self-organizing fuzzy neural network (SOFNN) on various benchmark problems in the areas of function approximation, nonlinear dynamic system identification, chaotic time-series prediction and real-world regreion problems.
Simulation results demonstrate that the proposed FAOS-PFNN algorithm can achieve faster learning speed and more compact network structure with comparably high accuracy of approximation and generalization.
I don’t know much about the fuzzy neural networks, so I only know little about fuzzy neural networks.Next stage, I think I will study more about fuzzy neural networks as I am really interesting this.
