Determining the optimal number of hidden nodes and their proper initial locations are
essentially crucial before the wavelet neural networks (WNNs) start their learning process. In …

The prediction of chaotic time series systems has remained a challenging problem in recent
decades. A hybrid method using Hankel Alternative View Of Koopman (HAVOK) analysis …

The common backfill mining technology in the green mining industry can be used for the
secondary utilization of construction waste in smart cities. This measure has the advantages …

In this paper, a local cloud model similarity measurement (CMSM) is proposed as a novel
method to measure the similarity of time series. Time series similarity measurement is an …

Time series similarity evaluation is a crucial processing task performed either as a stand-
alone action or as a part of extensive data analysis schemes. Among essential procedures …

To overcome the limitations of classic fuzzy systems, including Type-1 and Type-2 fuzzy
systems, and to propose a robust and flexible intelligent network, this paper presents a new …

In recent years, studies on chaotic fuzzy systems inspired by the human brain have been
increased to construct a robust and flexible intelligent network. This paper presents an …

Nowadays, developing and applying advanced digital technologies for monitoring protected
natural territories are critical problems. Collecting, digitalizing, storing, and analyzing …

The effectiveness of swarm intelligence has been proven to be at the heart of various
optimization problems. In this study, a recently developed nature-inspired algorithm …

This article proposes a Similarity-Based-Modeling (SBM) approach capable of
characterizing the degradation process of a lithium-ion (Li-ion) battery when discharged …