Cellular neural networks with second-order cells and their pattern forming properties

被引：0
|
作者：
Matei, RP [1 ]
机构：
[1] Tech Univ Gh Asachi Iasi, Iasi 6600, Romania
来源：
PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL V: BIO-MEDICAL CIRCUITS & SYSTEMS, VLSI SYSTEMS & APPLICATIONS, NEURAL NETWORKS & SYSTEMS | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In, this paper a new CNN model with second-order cells is proposed. The system dynamic behaviour is analyzed using the state equations. Its eigenvalues are studied in the space frequency domain and we show how the template and circuit parameters can be varied to obtain dispersion curves with a desired shape, which allows one to precisely select the unstable modes, with useful applications in pattern formation.
引用
收藏
页码：773 / 776
页数：4
相关论文
共 50 条
  • [1] Cellular Neural Networks with Second-Order Cells: Dynamics Analysis and Linear Filtering
    Matei, Radu
    2008 11TH INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS, 2008, : 242 - 247
  • [2] Second-order interpattern neural networks for optical pattern recognition
    Cheng, HQ
    Liu, LR
    Li, GQ
    Shao, L
    Zhou, CH
    OPTICS COMMUNICATIONS, 1997, 139 (4-6) : 182 - 186
  • [3] Pattern memory analysis of second-order neural networks with time-delay
    Ke, Yunquan
    Miao, Chun-fang
    APPLIED MATHEMATICS AND COMPUTATION, 2011, 217 (22) : 8883 - 8898
  • [4] Second-Order Pooling for Graph Neural Networks
    Wang, Zhengyang
    Ji, Shuiwang
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 45 (06) : 6870 - 6880
  • [5] Evapotranspiration Modeling Using Second-Order Neural Networks
    Adamala, Sirisha
    Raghuwanshi, N. S.
    Mishra, Ashok
    Tiwari, Mukesh K.
    JOURNAL OF HYDROLOGIC ENGINEERING, 2014, 19 (06) : 1131 - 1140
  • [6] Generalization of Neural Networks on Second-Order Hypercomplex Numbers
    Pavlov, Stanislav
    Kozlov, Dmitry
    Bakulin, Mikhail
    Zuev, Aleksandr
    Latyshev, Andrey
    Beliaev, Alexander
    MATHEMATICS, 2023, 11 (18)
  • [7] Annealing based dynamic learning in second-order neural networks
    Milenkovic, S
    Obradovic, Z
    Litovski, V
    ICNN - 1996 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS. 1-4, 1996, : 458 - 463
  • [8] Unsupervised learning in second-order neural networks for motion analysis
    Maul, Tomas
    Baba, Sapiyan
    NEUROCOMPUTING, 2011, 74 (06) : 884 - 895
  • [9] Efficient Second-Order Optimization for Neural Networks with Kernel Machines
    Chen, Yawen
    Chen, Yile
    Chen, Jian
    Wen, Zeyi
    Huang, Jin
    PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2022, 2022, : 242 - 251
  • [10] Generalized backpropagation algorithm for training second-order neural networks
    Fan, Fenglei
    Cong, Wenxiang
    Wang, Ge
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING, 2018, 34 (05)
12345