This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …

Chaotic time series prediction, a challenging research topic in dynamic system modeling,
has drawn great attention from researchers around the world. In recent years extensive …

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 …

To address the issue of soft-sensing of effluent total phosphorus in wastewater treatment
processes (WWTPs), a soft-sensing system based on an adaptive recursive fuzzy neural …

In this article, a wavelet fuzzy neural network controller with a supertwisting sliding mode
controller (WFNNCSTSMC) is developed to control the harmonics and improve the power …

For optimal utilization of power generation resources, load forecasting plays a vital role in
balancing the load flow in a power distribution network. There are several drawbacks …

The fuzzy broad learning system (FBLS) is a recently proposed neuro-fuzzy model that
shares the similar structure of a broad learning system (BLS). It shows high accuracy in both …

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 …

Coal mines are prone to fatal vulnerabilities due to improper airflow, a susceptible threat that
leads to vitiating safety and human resources. Hence, continuous monitoring of the …

In this paper, a novel fuzzy neural network structure for uncertain nonlinear systems is
proposed. This network is called wavelet Takagi–Sugeno–Kang (TSK) fuzzy cerebellar …