Today, biometric recognition systems play an important role in various applications of
different domains. Despite remarkable progress, their performance remains insufficient for …

In this paper, a fast, transparent, self-evolving, deep learning fuzzy rule-based (DLFRB)
image classifier is proposed. This new classifier is a cascade of the recently introduced …

Nowadays, under the pressure of numerous research publications, researchers increasingly
pay attention to writing survey papers to track and understand one research topic they are …

This p aper introduces an evolving feedforward single hidden layer neural network with
extreme learning. The evolving neural network simultaneously adapts its structure and …

Kalman filter (KF) and its variants are commonly used in estimating states of dynamical
systems. For accurate estimation of states, researchers have developed intelligent KFs by …

Equity assets volatility modeling and forecasting are fundamental in risk management,
portfolio construction, financial decision making and derivative pricing. The use of realized …

In this paper, a new approach for autonomous anomaly detection is introduced within the
Empirical Data Analytics (EDA) framework. This approach is fully data-driven and free from …

In this article the novel clustering and regression methods TEDACluster and TEDAPredict
methods are described additionally to recently proposed evolving classifier TEDAClass. The …

This paper presents a framework to tackle the problem of real-time fault classification for
systems that can change their operating conditions dynamically over time. The observation …

The extended belief rule-based (EBRB) system is shown to have the potential to handle both
quantitative and qualitative information under uncertainty, and it has been used as an …