Recently, the intelligent traffic control system and its uncertainty analysis are considered one
of the hot spots for utilizing the available techniques. It became more essential when the …

The Common Spatial Pattern (CSP) algorithm is an effective and popular method for
classifying 2-class motor imagery electroencephalogram (EEG) data, but its effectiveness …

The data-driven approach is popular to automate learning of fuzzy rules and tuning
membership function parameters in fuzzy inference systems (FIS) development. However …

The modern science is still striving to develop consciousness-based machine. In the last
century, enormous industrial and technological developments had taken place. Technology …

Purpose Neuro-fuzzy systems aim to combine the benefits of artificial neural networks and
fuzzy inference systems: a neural network can learn patterns from data and achieves high …

Although much research has been done over the decades on the formulation of statistical
regression models for road traffic relationships, they have been largely unsuitable due to the …

Rapid advancements in the application of soft computing tools and techniques have proven
valuable in the development of highly scalable systems. Although many resources on the …

Intelligent computing tools based on fuzzy logic and Artificial Neural Networks (ANN) have
been successfully applied in various problems with superior performances. A new approach …

This study investigates the effect of inputs used on event-based runoff forecasting by ANFIS.
Fifteen ANFIS models were compared, differentiated by the choice of rainfall and/or …

In this paper, we propose a systematic design process for automatically generating self-
organizing neuro-fuzzy Q-networks by leveraging unsupervised learning and an offline …