Showing physics.comp-phShow all
3 papers · 1 filter
physics.comp-ph2025
Supervised and unsupervised learning with numerical computation for the Wolfram cellular automata
Kui Tuo, Shengfeng Deng, Yuxiang Yang +4
The local rules of Wolfram cellular automata with one-dimensional three-cell neighborhoods are represented by eight-bit binary that encode deterministic update rules. These automat…
physics.comp-ph2023
Machine learning of (1+1)-dimensional directed percolation based on raw and shuffled configurations
Shen Jianmin, Wang Shanshan, Li Wei +6
Machine learning (ML) can process large sets of data generated from complex systems, which is ideal for classification tasks as often appeared in critical phenomena. Meanwhile ML t…
physics.comp-ph2023
Supervised, semi-supervised, and unsupervised learning of the Domany-Kinzel model
Kui Tuo, Wei Li, Shengfeng Deng +1
The Domany Kinzel (DK) model encompasses several types of non-equilibrium phase transitions, depending on the selected parameters. We apply supervised, semi-supervised, and unsuper…