These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
105 related articles for article (PubMed ID: 12662504)
1. The Stability of the Generalized Hopfield Networks in Randomly Asynchronous Mode. Ma J Neural Netw; 1997 Aug; 10(6):1109-1116. PubMed ID: 12662504 [TBL] [Abstract][Full Text] [Related]
2. On the Hopfield Neural Networks and Mean Field Theory. Funahashi KI; Kurita N Neural Netw; 1996 Dec; 9(9):1531-1540. PubMed ID: 12662551 [TBL] [Abstract][Full Text] [Related]
3. A Continuous-Time Asynchronous Boltzmann Machine. Miyajima T; Agu M; Yamanaka K Neural Netw; 1997 Aug; 10(6):1103-1107. PubMed ID: 12662503 [TBL] [Abstract][Full Text] [Related]
5. Convergence and stability of quantized Hopfield networks operating in a fully parallel mode. Calabuig D; Monserrat JF; Cardona N Neural Comput; 2010 Oct; 22(10):2507-21. PubMed ID: 20438332 [TBL] [Abstract][Full Text] [Related]
6. Existence and stability of a unique equilibrium in continuous-valued discrete-time asynchronous Hopfield neural networks. Bhaya A; Kaszkurewicz E; Kozyakin VS IEEE Trans Neural Netw; 1996; 7(3):620-8. PubMed ID: 18263459 [TBL] [Abstract][Full Text] [Related]
7. A New Family of Multivalued Networks. Ozturk Y; Erdem MH Neural Netw; 1996 Aug; 9(6):979-989. PubMed ID: 12662577 [TBL] [Abstract][Full Text] [Related]
8. Stability of Rotor Hopfield Neural Networks With Synchronous Mode. Kobayashi M IEEE Trans Neural Netw Learn Syst; 2018 Mar; 29(3):744-748. PubMed ID: 28055918 [TBL] [Abstract][Full Text] [Related]
9. The asymptotic memory capacity of the generalized Hopfield network. Ma J Neural Netw; 1999 Nov; 12(9):1207-1212. PubMed ID: 12662627 [TBL] [Abstract][Full Text] [Related]
10. Equivalence between local exponential stability of the unique equilibrium point and global stability for Hopfield-type neural networks with two neurons. Liang XB IEEE Trans Neural Netw; 2000; 11(5):1194-6. PubMed ID: 18249846 [TBL] [Abstract][Full Text] [Related]
11. Multistability in a class of stochastic delayed Hopfield neural networks. Chen WH; Luo S; Lu X Neural Netw; 2015 Aug; 68():52-61. PubMed ID: 25988667 [TBL] [Abstract][Full Text] [Related]
12. A Generalized Hopfield Network for Nonsmooth Constrained Convex Optimization: Lie Derivative Approach. Li C; Yu X; Huang T; Chen G; He X IEEE Trans Neural Netw Learn Syst; 2016 Feb; 27(2):308-21. PubMed ID: 26595931 [TBL] [Abstract][Full Text] [Related]
13. Stability of fully asynchronous discrete-time discrete-state dynamic networks. Bahi JM; Contassot-Vivier S IEEE Trans Neural Netw; 2002; 13(6):1353-63. PubMed ID: 18244533 [TBL] [Abstract][Full Text] [Related]
14. An Investigation into the Improvement of Local Minima of the Hopfield Network. Armitage AF; Gupta NK; Peng M Neural Netw; 1996 Oct; 9(7):1241-1253. PubMed ID: 12662596 [TBL] [Abstract][Full Text] [Related]
15. The convergence properties of a clipped Hopfield network and its application in the design of keystream generator. Chan CK; Cheng LM IEEE Trans Neural Netw; 2001; 12(2):340-8. PubMed ID: 18244388 [TBL] [Abstract][Full Text] [Related]
16. Associative memory in quaternionic Hopfield neural network. Isokawa T; Nishimura H; Kamiura N; Matsui N Int J Neural Syst; 2008 Apr; 18(2):135-45. PubMed ID: 18452247 [TBL] [Abstract][Full Text] [Related]
17. Informational Capacity and Recall Quality in Sparsely Encoded Hopfield-like Neural Network: Analytical Approaches and Computer Simulation. Muraviev IP; Husek D; Frolov AA Neural Netw; 1997 Jul; 10(5):845-855. PubMed ID: 12662874 [TBL] [Abstract][Full Text] [Related]
18. Nonlinear measures: a new approach to exponential stability analysis for Hopfield-type neural networks. Qiao H; Peng J; Xu ZB IEEE Trans Neural Netw; 2001; 12(2):360-70. PubMed ID: 18244390 [TBL] [Abstract][Full Text] [Related]
19. Improvements of complex-valued Hopfield associative memory by using generalized projection rules. Lee DL IEEE Trans Neural Netw; 2006 Sep; 17(5):1341-7. PubMed ID: 17001994 [TBL] [Abstract][Full Text] [Related]
20. A Decomposition Principle for Complexity Reduction of Artificial Neural Networks. Chung-Ping K; Zong-Ben X Neural Netw; 1996 Aug; 9(6):999-1016. PubMed ID: 12662579 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]