Reconstruction of dynamic systems using genetic algorithms with dynamic search limits
Fuente:
arXiv
Saved in:
| Main Authors: | Rodríguez-Abreo, Omar, Aragón, José Luis, Quiroz-Juárez, Mario Alan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prediction performance of random reservoirs with different topology for nonlinear dynamical systems with different number of degrees of freedom
by: Rathor, Shailendra K., et al.
Published: (2025)
by: Rathor, Shailendra K., et al.
Published: (2025)
Analysis of chaotic dynamical systems with autoencoders
by: Almazova, N., et al.
Published: (2021)
by: Almazova, N., et al.
Published: (2021)
Designing Chaotic Attractors: A Semi-supervised Approach
by: Kabayama, Tempei, et al.
Published: (2024)
by: Kabayama, Tempei, et al.
Published: (2024)
Attractor-merging Crises and Intermittency in Reservoir Computing
by: Kabayama, Tempei, et al.
Published: (2025)
by: Kabayama, Tempei, et al.
Published: (2025)
Identification of fixations and saccades in eye-tracking data using adaptive threshold-based method
by: Orioma, Charles, et al.
Published: (2025)
by: Orioma, Charles, et al.
Published: (2025)
Panda: A pretrained forecast model for chaotic dynamics
by: Lai, Jeffrey, et al.
Published: (2025)
by: Lai, Jeffrey, et al.
Published: (2025)
Reservoir computing with logistic map
by: Arun, R., et al.
Published: (2024)
by: Arun, R., et al.
Published: (2024)
Asymmetrically connected reservoir networks learn better
by: Rathor, Shailendra K., et al.
Published: (2024)
by: Rathor, Shailendra K., et al.
Published: (2024)
Jump-diffusion models of parametric volume-price distributions
by: Budhathoki, Anup, et al.
Published: (2025)
by: Budhathoki, Anup, et al.
Published: (2025)
Integer-State Dynamics of Quantized Spiking Neural Networks for Efficient Hardware Acceleration
by: Zhang, Lei
Published: (2026)
by: Zhang, Lei
Published: (2026)
Learning Continuous Chaotic Attractors with a Reservoir Computer
by: Smith, Lindsay M., et al.
Published: (2021)
by: Smith, Lindsay M., et al.
Published: (2021)
Denoising and Reconstruction of Nonlinear Dynamics using Truncated Reservoir Computing
by: Sedehi, Omid, et al.
Published: (2025)
by: Sedehi, Omid, et al.
Published: (2025)
Controlling Chaotic Maps using Next-Generation Reservoir Computing
by: Kent, Robert M., et al.
Published: (2023)
by: Kent, Robert M., et al.
Published: (2023)
Hierarchy of chaotic dynamics in random modular networks
by: Kuśmierz, Łukasz, et al.
Published: (2024)
by: Kuśmierz, Łukasz, et al.
Published: (2024)
Reconfigurable Nonlinear Photonic Networks for In-Situ Learning and Memory Formation via Driven-Dissipative Dynamics
by: Yorke, Isaac
Published: (2026)
by: Yorke, Isaac
Published: (2026)
Machine Learning of Nonlinear Dynamical Systems with Control Parameters Using Feedforward Neural Networks
by: Sakaguchi, Hidetsugu
Published: (2024)
by: Sakaguchi, Hidetsugu
Published: (2024)
Freezing chaos without synaptic plasticity
by: Huang, Weizhong, et al.
Published: (2025)
by: Huang, Weizhong, et al.
Published: (2025)
Chaotic Oscillator Networks for Classification Tasks
by: Ivas, Toni, et al.
Published: (2026)
by: Ivas, Toni, et al.
Published: (2026)
How high dimensional neural dynamics are confined in phase space
by: Wang, Shishe, et al.
Published: (2024)
by: Wang, Shishe, et al.
Published: (2024)
Reservoir Computing with a Single Oscillating Gas Bubble: Emphasizing the Chaotic Regime
by: Abdel-Ghani, Hend, et al.
Published: (2025)
by: Abdel-Ghani, Hend, et al.
Published: (2025)
Proposed modified computational model for the amoeba-inspired combinatorial optimization machine
by: Miyajima, Yusuke, et al.
Published: (2024)
by: Miyajima, Yusuke, et al.
Published: (2024)
The boundary of neural network trainability is fractal
by: Sohl-Dickstein, Jascha
Published: (2024)
by: Sohl-Dickstein, Jascha
Published: (2024)
Harnessing and modulating chaos to sample from neural generative models
by: Chaudhuri, Rishidev, et al.
Published: (2024)
by: Chaudhuri, Rishidev, et al.
Published: (2024)
Adjusting Dynamics of Hopfield Neural Network via Time-variant Stimulus
by: Peng, Xuenan, et al.
Published: (2024)
by: Peng, Xuenan, et al.
Published: (2024)
Data-driven reconstruction of chaotic dynamical equations: the Hénon-Heiles type system
by: Escobar-Ruiz, A. M., et al.
Published: (2023)
by: Escobar-Ruiz, A. M., et al.
Published: (2023)
Crisis in time-dependent dynamical systems
by: Olmi, Simona, et al.
Published: (2025)
by: Olmi, Simona, et al.
Published: (2025)
Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Data
by: Maksymov, Ivan S.
Published: (2024)
by: Maksymov, Ivan S.
Published: (2024)
Revisiting time-variant complex conjugate matrix equations with their corresponding real field time-variant large-scale linear equations, neural hypercomplex numbers space compressive approximation approach
by: He, Jiakuang, et al.
Published: (2024)
by: He, Jiakuang, et al.
Published: (2024)
Hyperchaos and complex dynamical regimes in $N$-dimensional neuron lattices
by: Le, Brandon B., et al.
Published: (2025)
by: Le, Brandon B., et al.
Published: (2025)
Counting Short Trajectories in Elementary Cellular Automata using the Transfer Matrix Method
by: Koller, Cédric, et al.
Published: (2025)
by: Koller, Cédric, et al.
Published: (2025)
Enhancing Computational Efficiency in Multiscale Systems Using Deep Learning of Coordinates and Flow Maps
by: Hamid, Asif, et al.
Published: (2024)
by: Hamid, Asif, et al.
Published: (2024)
An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Topologically protected synchronization in networks
by: Ostilli, Massimo
Published: (2025)
by: Ostilli, Massimo
Published: (2025)
Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective
by: Abbas, A. H., et al.
Published: (2024)
by: Abbas, A. H., et al.
Published: (2024)
A concept of antifragility for dynamical systems
by: Sontag, Eduardo D.
Published: (2024)
by: Sontag, Eduardo D.
Published: (2024)
What is the graph of a dynamical system?
by: Adwani, Chirag, et al.
Published: (2024)
by: Adwani, Chirag, et al.
Published: (2024)
Learning the climate of dynamical systems with state-space systems
by: Louw, James Murray, et al.
Published: (2025)
by: Louw, James Murray, et al.
Published: (2025)
Exploring the origins of switching dynamics in a multifunctional reservoir computer
by: Flynn, Andrew, et al.
Published: (2024)
by: Flynn, Andrew, et al.
Published: (2024)
Parametric Taylor series based latent dynamics identification neural networks
by: Lin, Xinlei, et al.
Published: (2024)
by: Lin, Xinlei, et al.
Published: (2024)
Landscape computations for the edge of chaos in nonlinear dynamical systems
by: Nakata, Motoki, et al.
Published: (2025)
by: Nakata, Motoki, et al.
Published: (2025)
Similar Items
-
Prediction performance of random reservoirs with different topology for nonlinear dynamical systems with different number of degrees of freedom
by: Rathor, Shailendra K., et al.
Published: (2025) -
Analysis of chaotic dynamical systems with autoencoders
by: Almazova, N., et al.
Published: (2021) -
Designing Chaotic Attractors: A Semi-supervised Approach
by: Kabayama, Tempei, et al.
Published: (2024) -
Attractor-merging Crises and Intermittency in Reservoir Computing
by: Kabayama, Tempei, et al.
Published: (2025) -
Identification of fixations and saccades in eye-tracking data using adaptive threshold-based method
by: Orioma, Charles, et al.
Published: (2025)