Predicting solutions of the Lotka‐Volterra equation using hybrid deep network

Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems

(2020) Alexander Wikner et al.   CHAOS

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

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

Using reservoir computer to predict and prevent extreme events

(2020) Viktoras Pyragas et al.   PHYSICS LETTERS A

Attention mechanism-based CNN for facial expression recognition

(2020) Jing Li et al.   NEUROCOMPUTING

Interpretable duplicate question detection models based on attention mechanism

(2020) Qifeng Zhou et al.   INFORMATION SCIENCES

Neural machine-based forecasting of chaotic dynamics

(2019) Rui Wang et al.   NONLINEAR DYNAMICS

Predicting slow and fast neuronal dynamics with machine learning

(2019) Rosangela Follmann et al.   CHAOS

Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model

(2018) Jaideep Pathak et al.   CHAOS

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Deep learning

(2015) Yann LeCun et al.   NATURE

Artificial neural network-based modeling of brain response to flicker light

(2015) Razieh Falahian et al.   NONLINEAR DYNAMICS

The architecture of dynamic reservoir in the echo state network

(2012) Hongyan Cui et al.   CHAOS