Data-driven discrete-time deep recurrent neural network-based modeling for dissipative systems

arXiv:2609.27186 · cs.LG, cs.RO · Submitted 2026-09-23 · Read on arXiv

cs.LG, cs.RO

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Neural Networks — 20× in this paper
• Robustness — 7× in this paper · explained in 5 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Activation Function — 4× in this paper · explained in 1 episode
• Generalization — 2× in this paper · explained in 13 episodes
• Lyapunov function — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Hybrid Models — 1× in this paper · explained in 2 episodes
• Initial Data — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• PDE residual — 1× in this paper · explained in 2 episodes
• Partial Differential Equations — 1× in this paper
• Physics-Informed Neural Network (PINN) — 1× in this paper · explained in 3 episodes
• Physics-Informed Neural Networks (PINNs) — 1× in this paper · explained in 6 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• alpha — 1× in this paper · explained in 1 episode

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks