Suboptimum solutions obtained by the Hopfield-Tank neural network algorithm

Biological Cybernetics

Volumn 65, Issue 2, 1991, Pages 129-133

  Kunz, D ^a  

^a PHILIPS RESEARCH LABORATORIES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0005350056     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/BF00202388     Document Type: Article

References (18)

1. Boltzmann machines and their applications
2. Self-organizing feature maps and the Travelling Salesman Problem
3. Scaling the neural network TSP algorithm
4. Parallel algorithms for channel assignment in cellular mobile radio systems: The neural network approach
5. An analogue approach to the travelling salesman problem using an elastic net method
6. Computational-complexity reduction for neural network algorithms
7. Neural networks and physical systems with emergent collective computational abilities
8. Neurons with graded response have collective computational properties like those of two-state neurons
9. “Neural” computational of decisions in optimization problems
10. Optimization by simulated annealing
11. Self-organization and associative memory
12. An effective heuristic algorithm for the travelling-salesman problem
13. On the stationary state of Kohonen's self-organizing sensory mapping
14. Improving the performance of the Hopfield-Tank neural network through normalization and annealing
15. On the stability of the Traveling Salesman algorithm of Hopfield and Tank