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 …
Performance evaluation of multilayer perceptron, radial basis function, fuzzy inference system, and an adaptively tuned fuzzy wavelet neural network in parameter …
O Khayat, H Afarideh - Expert Systems, 2019 - Wiley Online Library
Application of predictive models in industrial multiphase flow metering has attracted an
increasing attention recently. Void fraction (VF), water–liquid ratio (WLR), and flow regime …
increasing attention recently. Void fraction (VF), water–liquid ratio (WLR), and flow regime …
Gradient‐based back‐propagation dynamical iterative learning scheme for the neuro‐fuzzy inference system
HC Nejad, M Farshad, FN Rahatabad… - Expert Systems, 2016 - Wiley Online Library
In this paper, a gradient‐based back propagation dynamical iterative learning algorithm is
proposed for structure optimization and parameter tuning of the neuro‐fuzzy system …
proposed for structure optimization and parameter tuning of the neuro‐fuzzy system …
Performance verification of a fuzzy wavelet neural network in the first order partial derivative approximation of nonlinear functions
Approximation of the first order partial derivative of a function modeled from a set of discrete
data is the requirement of several applications. However, using a direct method for …
data is the requirement of several applications. However, using a direct method for …
Structure synthesis of ANFIS classifier for teletraffic system resources identification
G Georgiev, I Balabanova… - … Sea Conference on …, 2016 - ieeexplore.ieee.org
In the communication systems, Adaptive Neuro-Fuzzy Interface Systems (ANFIS) are used
for the detection of unauthorized user access and forecasting product demand for 3G and …
for the detection of unauthorized user access and forecasting product demand for 3G and …
[PDF][PDF] Forecasting Mobile Network Traffic Data using Coactive Adaptive Neuro-Fuzzy Inference System Model
FK Oduro-Gyimah, KO Boateng - 2019 - journalspress.com
The analysis of 2G and 3G voice traffic by researchers have established that their
characteristics follow the Poisson distribution and that earlier theories on call arrivals hold …
characteristics follow the Poisson distribution and that earlier theories on call arrivals hold …