In this paper a new general recurrent statespace Neuro-Fuzzy model structure based on the
combination of a modified Jordan network and an Adaptive Neuro-Fuzzy Inference System …

This paper proposes a new general recurrent state-space neuro-fuzzy model structure.
Three topologies are under assessment, including the state-input recurrent neuro-fuzzy …

A new on-line identification algorithm is presented in this paper based on a neuro-fuzzy
model structure. The algorithm is developed based on the functional equivalence between a …

This paper presents an online identification algorithm based on instrumental variable
evolving neuro fuzzy model applied to dynamic systems in noisy enviroment. The adopted …

A neurofuzzy scheme is proposed to perform an online identification of nonlinear systems
that can be represented by a transfer function with varying parameters. The parameter …

A method for estimating the parameters of a single input single output (SISO) model is
proposed and discussed. The new method is based on the neo-fuzzy-neuron algorithm and …

We propose an integrated mechanism for discarding derogatory features and extraction of
fuzzy rules based on an interval type-2 neural fuzzy system (NFS)-in fact, it is a more general …

Neuro-fuzzy (NF) modeling can be regarded as a gray-box technique on the boundary
between neural networks and qualitative fuzzy models. The main motivation for this …

In this paper, an online self-constructing fuzzy neural network (SCFNN) is proposed to solve
four kinds of nonlinear dynamic system identification (NDSI) problems in the internet of …

This paper presents a nonlinear system identification approach based on neuro-fuzzy
networks. This method consists of two main step: 1) concerns with the structure identification …