In this paper, a self-organizing fuzzy-neural-network with adaptive computation algorithm
(SOFNN-ACA) is proposed for modeling a class of nonlinear systems. This SOFNN-ACA is …

In this paper, a self-organizing fuzzy neural network with adaptive gradient algorithm
(SOFNN-AGA) is proposed for nonlinear systems modeling. First, a potentiality of fuzzy rules …

Fuzzy neural networks (FNNs) integrating the advantages of fuzzy systems and neural
networks are useful techniques for nonlinear system modeling. However, how to determine …

In this paper, a novel self-organizing fuzzy neural network with an adaptive learning
algorithm (SOFNN-ALA) for nonlinear system modeling and identification in industrial …

Intelligent computing technologies are useful and important for online data modeling, where
system dynamics may be nonstationary with some uncertainties. In this paper, an efficient …

In this paper, an adaptive second order algorithm (ASOA) has been developed to train the
fuzzy neural network (FNN) to achieve fast and robust convergence for nonlinear system …

In this paper, a self-organizing fuzzy neural network with hierarchical pruning scheme
(SOFNN-HPS) is proposed for nonlinear systems modelling in industrial processes. In …

This paper proposes a recurrent self-evolving fuzzy neural network with local feedbacks
(RSEFNN-LF) for dynamic system processing. A RSEFNN-LF is composed of zero-order or …

An auto-structuring fuzzy neural network-based control system (ASFNS), which includes the
auto-structuring fuzzy neural network (ASFNN) controller and the supervisory controller, is …

A fuzzy neural network (FNN) is an effective learning system that combines neural network
and fuzzy logic, which has achieved great success in nonlinear system modeling. However …