High-efficiency chaotic time series prediction based on time convolution neural network

A Unified Chaotic System with Various Coexisting Attractors

(2021) Qiang Lai   INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS

A dual‐stage attention‐based Conv‐LSTM network for spatio‐temporal correlation and multivariate time series prediction

(2021) Yuteng Xiao et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes]

(2020) Md Shad Akhtar et al.   IEEE Computational Intelligence Magazine

A simple no-equilibrium chaotic system with only one signum function for generating multidirectional variable hidden attractors and its hardware implementation

(2020) Sen Zhang et al.   CHAOS

Multiobjective Evolution of Fuzzy Rough Neural Network via Distributed Parallelism for Stock Prediction

(2020) Bin Cao et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Development of advanced artificial intelligence models for daily rainfall prediction

(2020) Binh Thai Pham et al.   ATMOSPHERIC RESEARCH

Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics

(2020) P.R. Vlachas et al.   NEURAL NETWORKS

The challenges of modeling and forecasting the spread of COVID-19

(2020) Andrea L. Bertozzi et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys

(2020) Jianqing Wu et al.   SENSORS

Robustness of LSTM neural networks for multi-step forecasting of chaotic time series

(2020) Matteo Sangiorgio et al.   CHAOS SOLITONS & FRACTALS

Conservative chaos in a simple oscillatory system with non-smooth nonlinearity

(2020) Peter A. Meleshenko et al.   NONLINEAR DYNAMICS

Prediction Technique of Aberration Coefficients of Interference Fringes and Phase Diagrams Based on Convolutional Neural Network

(2020) Jong-Woei Whang et al.   OPTICS EXPRESS

A CNN-LSTM-Based Model to Forecast Stock Prices

(2020) Wenjie Lu et al.   COMPLEXITY

Multidimensional KNN algorithm based on EEMD and complexity measures in financial time series forecasting

(2020) Guancen Lin et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evaluating a New International Risk-Prediction Tool in IgA Nephropathy

(2019) Sean J. Barbour et al.   JAMA Internal Medicine

Deep learning for multi-year ENSO forecasts

(2019) Yoo-Geun Ham et al.   NATURE

Good and bad predictions: Assessing and improving the replication of chaotic attractors by means of reservoir computing

(2019) Alexander Haluszczynski et al.   CHAOS

Multi-mode predictive energy management for fuel cell hybrid electric vehicles using Markov driving pattern recognizer

(2019) Yang Zhou et al.   APPLIED ENERGY

Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm

(2019) Ling-Ling Li et al.   JOURNAL OF CLEANER PRODUCTION

Short-term wind speed forecasting based on fast ensemble empirical mode decomposition, phase space reconstruction, sample entropy and improved back-propagation neural network

(2018) Wei Sun et al.   ENERGY CONVERSION AND MANAGEMENT

Online reliability time series prediction via convolutional neural network and long short term memory for service-oriented systems

(2018) Hongbing Wang et al.   KNOWLEDGE-BASED SYSTEMS

Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach

(2018) Jaideep Pathak et al.   PHYSICAL REVIEW LETTERS

Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm

(2018) Min Han et al.   IEEE Transactions on Cybernetics

Short-Term Traffic Speed Forecasting Based on Attention Convolutional Neural Network for Arterials

(2018) Qingchao Liu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Genome-based prediction of bacterial antibiotic resistance

(2018) Michelle Su et al.   JOURNAL OF CLINICAL MICROBIOLOGY

Quantifying the Dynamical Complexity of Chaotic Time Series

(2017) Antonio Politi   PHYSICAL REVIEW LETTERS

Optimizing Markovian modeling of chaotic systems with recurrent neural networks

(2006) Adelmo L. Cechin et al.   CHAOS SOLITONS & FRACTALS