Chaotic dynamics in iterated map neural networks with piecewise linear activation function

被引：0
|
作者：
机构：
来源：
Fundam Inf | / 1卷 / 31-50期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Hash function based on piecewise nonlinear chaotic map
    Akhavan, A.
    Samsudin, A.
    Akhshani, A.
    CHAOS SOLITONS & FRACTALS, 2009, 42 (02) : 1046 - 1053
  • [22] Complete Stability of Neural Networks With Nonmonotonic Piecewise Linear Activation Functions
    Nie, Xiaobing
    Zheng, Wei Xing
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2015, 62 (10) : 1002 - 1006
  • [23] DYNAMICS OF NEURAL NETWORKS WITH NONMONOTONE ACTIVATION FUNCTION
    DEFELICE, P
    MARANGI, C
    NARDULLI, G
    PASQUARIELLO, G
    TEDESCO, L
    NETWORK-COMPUTATION IN NEURAL SYSTEMS, 1993, 4 (01) : 1 - 9
  • [24] Research on a piecewise linear chaotic map and its cryptographical application
    Wang, Yun-feng
    Xie, Man-de
    Ji, Ai-Ming
    FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 4, PROCEEDINGS, 2007, : 260 - +
  • [25] Symbolic dynamics of the piecewise linear standard map
    Zheng, WM
    COMMUNICATIONS IN THEORETICAL PHYSICS, 1998, 29 (03) : 369 - 376
  • [26] A Parallel Encryption Algorithm Based on Piecewise Linear Chaotic Map
    Wang, Xizhong
    Chen, Deyun
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 2013
  • [27] A parallel image encryption algorithm based on the piecewise linear chaotic map and hyper-chaotic map
    Yuling Luo
    Ronglong Zhou
    Junxiu Liu
    Yi Cao
    Xuemei Ding
    Nonlinear Dynamics, 2018, 93 : 1165 - 1181
  • [28] A parallel image encryption algorithm based on the piecewise linear chaotic map and hyper-chaotic map
    Luo, Yuling
    Zhou, Ronglong
    Liu, Junxiu
    Cao, Yi
    Ding, Xuemei
    NONLINEAR DYNAMICS, 2018, 93 (03) : 1165 - 1181
  • [29] ITERATED FUNCTION SYSTEMS AS NEURAL NETWORKS
    STARK, J
    NEURAL NETWORKS, 1991, 4 (05) : 679 - 690
  • [30] Piecewise linear iterated function systems on the line of overlapping construction
    Daniel Prokaj, R.
    Simon, Karoly
    NONLINEARITY, 2022, 35 (01) : 245 - 277
12345