Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific
and engineering areas due to its effective learning and reasoning capabilities. The neuro …

This special issue explores big data analytics and applications for logistics and supply chain
management by examining novel methods, practices, and opportunities. The articles present …

The inherent flexibility of hierarchical structure scheme with main-servo loop control
structure is proposed to the problem of integrated chassis control system for the vehicle. It …

This paper presents a novel automatic facial expressions recognition system (AFERS) using
the deep network framework. The proposed AFERS consists of four steps: 1) geometric …

The age of online data stream and dynamic environments results in the increasing demand
of advanced machine learning techniques to deal with concept drifts in large data streams …

Fuzzy neural networks (FNNs) are quite useful for nonlinear system identification when only
the input/output information is available. A new FNN framework is first proposed by …

In this paper, a novel adaptive robust online constructive fuzzy control (AR-OCFC) scheme,
employing an online constructive fuzzy approximator (OCFA), to deal with tracking surface …

Anomaly detection is still a challenging task for video surveillance due to complex
environments and unpredictable human behaviors. Most existing approaches train offline …

Adaptive learning is an approach toward personalized learning and places the concept of
“learner-centered education” into practice. With the rapid development of artificial …

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 …