Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule
Nonstationary fuzzy inference systems (NFISs) model the variation in opinions of individual
experts and expert groups. They have the capability similar to type-2 fuzzy systems in some …
experts and expert groups. They have the capability similar to type-2 fuzzy systems in some …
On multistage fuzzy neural network modeling
FL Chung, JC Duan - IEEE Transactions on fuzzy systems, 2000 - ieeexplore.ieee.org
In the past couple of years, there has been increasing interest in the fusion of neural
networks and fuzzy logic. Most of the existing fuzzy neural network (FNN) models have been …
networks and fuzzy logic. Most of the existing fuzzy neural network (FNN) models have been …
Data driven modeling based on dynamic parsimonious fuzzy neural network
In this paper, a novel fuzzy neural network termed as dynamic parsimonious fuzzy neural
network (DPFNN) is proposed. DPFNN is a four layers network, which features coalescence …
network (DPFNN) is proposed. DPFNN is a four layers network, which features coalescence …
Cascaded fuzzy neural network model based on syllogistic fuzzy reasoning
JC Duan, FL Chung - IEEE Transactions on Fuzzy Systems, 2001 - ieeexplore.ieee.org
In recent years, there has been an increasing interest in the fusion of neural networks and
fuzzy logic. Most of the existing fuzzy neural network (FNN) models have been proposed to …
fuzzy logic. Most of the existing fuzzy neural network (FNN) models have been proposed to …
CFNN: Correlated fuzzy neural network
MM Ebadzadeh, A Salimi-Badr - Neurocomputing, 2015 - Elsevier
In this paper, a new fuzzy neural network model with correlated fuzzy rules (CFNN) based
on the Levenberg–Marquardt (LM) optimization method is proposed. The proposed method …
on the Levenberg–Marquardt (LM) optimization method is proposed. The proposed method …
GenSoFNN: A generic self-organizing fuzzy neural network
WL Tung, C Quek - IEEE Transactions on Neural Networks, 2002 - ieeexplore.ieee.org
Existing neural fuzzy (neuro-fuzzy) networks proposed in the literature can be broadly
classified into two groups. The first group is essentially fuzzy systems with self-tuning …
classified into two groups. The first group is essentially fuzzy systems with self-tuning …
An online self-organizing scheme for parsimonious and accurate fuzzy neural networks
In this paper, an online self-organizing scheme for Parsimonious and Accurate Fuzzy Neural
Networks (PAFNN), and a novel structure learning algorithm incorporating a pruning …
Networks (PAFNN), and a novel structure learning algorithm incorporating a pruning …
A hybrid of cooperative particle swarm optimization and cultural algorithm for neural fuzzy networks and its prediction applications
This study presents an evolutionary neural fuzzy network, designed using the functional-link-
based neural fuzzy network (FLNFN) and a new evolutionary learning algorithm. This new …
based neural fuzzy network (FLNFN) and a new evolutionary learning algorithm. This new …
Identification and prediction using recurrent compensatory neuro-fuzzy systems
CJ Lin, CH Chen - Fuzzy Sets and Systems, 2005 - Elsevier
In this paper, a recurrent compensatory neuro-fuzzy system (RCNFS) for identification and
prediction is proposed. The compensatory-based fuzzy method uses the adaptive fuzzy …
prediction is proposed. The compensatory-based fuzzy method uses the adaptive fuzzy …
A fast and accurate online self-organizing scheme for parsimonious fuzzy neural networks
In this paper, we present a fast and accurate online self-organizing scheme for parsimonious
fuzzy neural networks (FAOS-PFNN), where a novel structure learning algorithm …
fuzzy neural networks (FAOS-PFNN), where a novel structure learning algorithm …