Time series classification of dynamical systems using deterministic learning

Deep learning based classification of time series of Chen and Rössler chaotic systems over their graphic images

(2022) Burak Aricioğlu et al.   PHYSICA D-NONLINEAR PHENOMENA

Artificial Intelligence-Based Robust Hybrid Algorithm Design and Implementation for Real-Time Detection of Plant Diseases in Agricultural Environments

(2022) İlayda Yağ et al.   Biology-Basel

Rapid dynamical pattern recognition for sampling sequences

(2021) Weiming Wu et al.   Science China-Information Sciences

Time series classification and creation of 2D bifurcation diagrams in nonlinear dynamical systems using supervised machine learning methods

(2021) Salama Hassona et al.   APPLIED SOFT COMPUTING

Topological classification of periodic orbits in the generalized Lorenz-type system with diverse symbolic dynamics

(2021) Chengwei Dong et al.   CHAOS SOLITONS & FRACTALS

Machine learning-based classification of time series of chaotic systems

(2021) Süleyman Uzun   European Physical Journal-Special Topics

Dynamical pattern recognition for sampling sequences based on deterministic learning and structural stability

(2021) Weiming Wu et al.   NEUROCOMPUTING

Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization

(2021) Seçkin Karasu et al.   ENERGY

A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series

(2020) Seçkin Karasu et al.   ENERGY

Deep learning for time series classification: a review

(2019) Hassan Ismail Fawaz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Deterministic Learning from Sampling Data

(2019) Weiming Wu et al.   NEUROCOMPUTING

Classification of chaotic time series with deep learning

(2019) Nicolas Boullé et al.   PHYSICA D-NONLINEAR PHENOMENA

Small Fault Detection for a Class of Closed-Loop Systems via Deterministic Learning

(2018) Tianrui Chen et al.   IEEE Transactions on Cybernetics

The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances

(2016) Anthony Bagnall et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Preface

(2016) Cheng-Xiang Wang et al.   Science China-Information Sciences

Boundary detection and sample reduction for one-class Support Vector Machines

(2013) Fa Zhu et al.   NEUROCOMPUTING