A review of representative research reported in journal articles in the field of structural
system identification published in journals since 1995 is presented. The paper is divided into …

As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …

In many practical applications of classifiers, not only high accuracy but also high
interpretability is required. Among a wide variety of existing classifiers, Takagi–Sugeno …

This paper presents a method of optimizing the elements of a hierarchy of fuzzy-rule-based
systems (FRBSs). It is a hybridization of a genetic algorithm (GA) and the cross-entropy (CE) …

Analysis of structure of the brain functional connectivity (SBFC) is a fundamental issue for
understanding of the brain cognition as well as the pathology of brain disorders. Analysis of …

Synchronization as a measure of quantification of similarities in dynamic systems is an
important concept in many scientific fields such as nonlinear science, neuroscience …

During the last years there has been a growing need of developing innovative tools that can
help small to medium sized enterprises to predict business failure as well as financial crisis …

Different from our previous stacked-structure-based deep fuzzy classifier, in this paper, we
explore the distinctive role of adversarial outputs of training samples in enhancing the …

A long‐span suspension bridge is a complex structural system that interacts with the
surrounding environment and the users. The environmental actions and the corresponding …

In this paper, we present an automated behavior analysis system developed to assist the
elderly and individuals with disabilities who live alone, by learning and predicting standard …