On problem solving with Hopfield neural networks

Biological Cybernetics

Volumn 62, Issue 5, 1990, Pages 415-423

  Kamgar Parsi, Behzad ^a   Kamgar Parsi, Behrooz ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b NAVAL RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; METHODOLOGY; NERVE CELL NETWORK;

EID: 0025303743     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/BF00197648     Document Type: Article

References (16)

1. Towards practical neural computation for combinatorial optimization problems
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3. Random iterations of threshold networks and associative memory
4. Cluster analysis of multivariate data: efficiency versus interpretability of classifications. Biometr Soc Meetings Riverside, California
5. Neurons with graded response have collective computational properties like those of two-state neurons
6. Neural computation of decisions in optimization problems
7. Clustering with neural networks
8. An efficient model of neural networks for optimization
9. Control of attention in neural networks
10. On the stability of the Travelling Salesman Problem algorithm of Hopfield and Tank
11. Terminal attractors for addressable memory in neural networks