Optimization by varied beam search in Hopfield networks

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2002, Pages 913-918

  Zeng, Xinchuan ^a   Martinez, Tony R ^a  

^a 3361 TMCB   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ERRORS; OPTIMIZATION; RELAXATION PROCESSES; TRAVELING SALESMAN PROBLEM;

FIXED BEAM SEARCH; HOPFIELD NETWORK; VARIED BEAM SEARCH;

NEURAL NETWORKS;

EID: 0036073643     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Neural computations of decisions in optimization problems
2. On the stability of the traveling salesman problem algorithm of hopfield and tank
3. Alternative networks for solving the traveling salesman problem and the list-matching problem
4. A theoretical investigation into the performance of the Hopfield model
5. Improving convergence and solution quality of Hopfield-type neural networks with augmented lagrange multipliers
6. Tuning Hopfield neural network by a fuzzy approach
7. Higher order neural networks-can they help us optimise?
8. Improving the performance of the Hopfield-Tank neural network through normalization and annealing
9. A new activation function in the Hopfield network for solving optimization problems
10. A new relaxation procedure in the Hopfield network for solving optimization problems
11. Improving the Hopfield network through beam search