NEURAL NETS AND CELLULAR AUTOMATA

被引：0
|
作者：
CAIANIELLO, ER
MARINARO, M
机构：
来源：
LECTURE NOTES IN COMPUTER SCIENCE | 1987年 / 253卷
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
引用
收藏
页码：198 / 205
页数：8
相关论文
共 50 条
  • [21] Learning About Growing Neural Cellular Automata
    Catrina, Sorana
    Catrina, Mirela
    Baicoianu, Alexandra
    Plajer, Ioana Cristina
    IEEE ACCESS, 2024, 12 : 45740 - 45751
  • [22] Attention-based Neural Cellular Automata
    Tesfaldet, Mattie
    Nowrouzezahrai, Derek
    Pal, Christopher
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022), 2022,
  • [23] Neural cellular automata for solidification microstructure modelling
    Tang, Jian
    Kumar, Siddhant
    De Lorenzis, Laura
    Hosseini, Ehsan
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 414
  • [24] Stochastic cellular automata model of neural networks
    Goltsev, A. V.
    de Abreu, F. V.
    Dorogovtsev, S. N.
    Mendes, J. F. F.
    PHYSICAL REVIEW E, 2010, 81 (06):
  • [25] Deep learning with photonic neural cellular automata
    Li, Gordon H. Y.
    Leefmans, Christian R.
    Williams, James
    Gray, Robert M.
    Parto, Midya
    Marandi, Alireza
    LIGHT-SCIENCE & APPLICATIONS, 2024, 13 (01)
  • [26] Structure adaptation of stochastic neural nets using learning automata technique
    Universidad La Salle, Mexico, Mexico
    Int J Syst Sci, 2 (139-148):
  • [27] Structure adaptation of stochastic neural nets using learning automata technique
    Gomez-Ramirez, E
    Poznyak, AS
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1998, 29 (02) : 139 - 148
  • [28] Scale-invariant cellular automata and self-similar Petri nets
    M. Schaller
    K. Svozil
    The European Physical Journal B, 2009, 69 : 297 - 311
  • [29] Scale-invariant cellular automata and self-similar Petri nets
    Schaller, M.
    Svozil, K.
    EUROPEAN PHYSICAL JOURNAL B, 2009, 69 (02): : 297 - 311
  • [30] Combining Causal Bayes Nets and Cellular Automata: A Hybrid Modelling Approach to Mechanisms
    Gebharter, Alexander
    Koch, Daniel
    BRITISH JOURNAL FOR THE PHILOSOPHY OF SCIENCE, 2021, 72 (03): : 839 - 864
12345