Results 1 to 10 of about 31,033 (265)

irreversibility: A Python Package for Assessing and Manipulating the Time Irreversibility of Real-World Time Series

Entropy
Time irreversibility refers to the property of some dynamical systems and time series of being statistically different when observed backward in time.
Massimiliano Zanin
doaj   +1 more source

Process Systems Engineering. A Method of Modeling for Nonlinear Process Dynamics by Chaotic Time-Series Analysis.

KAGAKU KOGAKU RONBUNSHU, 1996
カオス的時系列解析による非線形プロセスのモデリング法を開発した.本手法は, 現時刻近傍の時系列データと類似した過去の時系列データをカオス的時系列解析法により検索し, その挙動から予測値を求める.本法の有効性を検証するため, エチレン装置脱メタン塔の塔底温度制御系に適用した.その結果, 本法は有効であることがわかった.
Hanakuma, Yoshitomo, Nakaya, Kazutoyo, Takeuchi, Takeshi, Sasaki, Takashi, Nakanishi, Eiji   +4 more
openaire   +2 more sources

Comparative Analysis of Time-Series Forecasting Models for eLoran Systems: Exploring the Effectiveness of Dynamic Weighting

Sensors
This paper presents an advanced time-series forecasting methodology that integrates multiple machine learning models to improve data prediction in enhanced long-range navigation (eLoran) systems. The analysis evaluates five forecasting approaches: multivariate linear regression, long short-term memory (LSTM) networks, random forest (RF), a fusion model
Jianchen Di, Miao Wu, Jun Fu, Wenkui Li, Xianzhou Jin, Jinyu Liu   +5 more
openaire   +3 more sources

Review of the Natural Time Analysis Method and Its Applications

Mathematics
A new concept of time, termed natural time, was introduced in 2001. This new concept reveals unique dynamic features hidden behind time-series originating from complex systems.
Panayiotis A. Varotsos, Efthimios S. Skordas, Nicholas V. Sarlis, Stavros-Richard G. Christopoulos   +3 more
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Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings

Frontiers in Neuroinformatics, 2018
Time series, as frequently the case in neuroscience, are rarely stationary, but often exhibit abrupt changes due to attractor transitions or bifurcations in the dynamical systems producing them.
Hazem Toutounji, Daniel Durstewitz, Daniel Durstewitz   +2 more
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Dynamical behaviour and solutions in the fractional Gross–Pitaevskii model

Mathematical and Computer Modelling of Dynamical Systems
The Gross–Pitaevskii equation is widely known for its applications in fields such as Bose–Einstein condensates and optical fibres. This study investigates the dynamical behaviour of various wave solutions to the M-fractional nonlinear Gross–Pitaevskii ...
Beenish, Muhammad Asim, Salah Boulaaras, Mati Ur Rahman   +3 more
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A Class of Quadratic Polynomial Chaotic Maps and Their Fixed Points Analysis

Entropy, 2019
When chaotic systems are used in different practical applications, such as chaotic secure communication and chaotic pseudorandom sequence generators, a large number of chaotic systems are strongly required.
Chuanfu Wang, Qun Ding
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Computational analysis of soliton dynamics and their applications in the fractional Kairat-II equation

Boundary Value Problems
In this paper, we investigate the dynamical behaviour and soliton solutions of the M-fractional Kairat-II equation. Initially, soliton solutions are obtained using the new extended direct algebraic method.
Beenish, Asif Khan, Salma Trabelsi, Muath Awadalla   +3 more
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Using bundle embeddings to predict daily cortisol levels in human subjects

BMC Medical Research Methodology, 2018
Background Many biological variables sampled from human subjects show a diurnal pattern, which poses special demands on the techniques used to analyze such data. Furthermore, most biological variables belong to nonlinear dynamical systems, which may make
Roelof B. Toonen, Klaas J. Wardenaar, Elisabeth H. Bos, Sonja L. van Ockenburg, Peter de Jonge   +4 more
doaj   +1 more source

Detecting shifts in nonlinear dynamics using Empirical Dynamic Modeling with Nested-Library Analysis.

PLoS Computational Biology
Abrupt changes in system states and dynamical behaviors are often observed in natural systems; such phenomena, named regime shifts, are explained as transitions between alternative steady states (more generally, attractors).
Yong-Jin Huang, Chun-Wei Chang, Chih-Hao Hsieh   +2 more
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