EXISTENCE OF BINARY INVARIANT-SETS IN FEEDBACK NEURAL NETWORKS WITH APPLICATION TO SYNTHESIS

被引：3
|
作者：
PERFETTI, R
机构：
[1] INFOCOM Department, Università “La Sapienza,”
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS | 1993年 / 4卷 / 01期
关键词：
D O I：
10.1109/72.182709
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The design of fully connected discrete-time neural networks, with threshold units, can be performed by solving a set of linear inequalities. Using this formulation, the design problem can be handled by several powerful algorithms. This approach is extended to the design of continuous-time neural networks with sigmoidal units, which represent a more realistic model of analog circuit implementations. The proposed method is based on some theoretical results proved in this paper
引用
收藏
页码：153 / 156
页数：4
相关论文
共 50 条
  • [31] Artificial evolution of neural networks and its application to feedback control
    Univ of Glasgow, Glasgow, United Kingdom
    Artif Intell Eng, 2 (143-152):
  • [32] Positive invariant and global exponential attractive sets of neural networks with time-varying delays
    Liao, Xiaoxin
    Luo, Qi
    Zeng, Zhigang
    NEUROCOMPUTING, 2008, 71 (4-6) : 513 - 518
  • [33] Positive invariant sets and global exponential attractive sets of BAM neural networks with time-varying and infinite distributed delays
    Zhao, Zhihua
    Jian, Jigui
    NEUROCOMPUTING, 2014, 142 : 447 - 457
  • [34] Predictive value feedback retraining strategy and application for autoregressive neural networks
    Zhengyang M.
    Yiguo L.
    Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2024, 54 (03): : 738 - 746
  • [35] A feedback linearization technique by using neural networks: Application to bioprocess control
    Boutalis, Y. S.
    Kosmidou, O. I.
    JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2006, 6 (5-6) : 269 - 282
  • [36] Existence of periodic solutions and closed invariant curves in a class of discrete-time cellular neural networks
    Li, Xuemei
    Yuan, Zhaohui
    PHYSICA D-NONLINEAR PHENOMENA, 2009, 238 (16) : 1658 - 1667
  • [37] Attracting and invariant sets of fuzzy Cohen-Grossberg neural networks with time-varying delays
    He, Danhua
    Xu, Daoyi
    PHYSICS LETTERS A, 2008, 372 (47) : 7057 - 7062
  • [38] Super-steep synapses based on positive feedback devices for reliable binary neural networks
    Kwon, Dongseok
    Kim, Hyeongsu
    Lee, Kyu-Ho
    Hwang, Joon
    Shin, Wonjun
    Bae, Jong-Ho
    Woo, Sung Yun
    Lee, Jong-Ho
    APPLIED PHYSICS LETTERS, 2023, 122 (10)
  • [39] Bayesian neural networks for bivariate binary data: An application to prostate cancer study
    Chakraborty, S
    Ghosh, M
    Maiti, T
    Tewari, A
    STATISTICS IN MEDICINE, 2005, 24 (23) : 3645 - 3662
  • [40] The Application of Artificial Neural Networks to Identification of Some Amino Acids in Binary Mixtures
    Aravin, O., I
    Novikov, A. Yu
    Selifonova, E., I
    Chernova, R. K.
    Shevyrev, S. P.
    IZVESTIYA SARATOVSKOGO UNIVERSITETA NOVAYA SERIYA-MATEMATIKA MEKHANIKA INFORMATIKA, 2011, 11 (01): : 105 - 111
12345