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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6
A Modified Hopfield Model for Solving the N-Queens Problem
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
| ASCII Text | x | ||
| Ivan N. da Silva, Andre N. de Souza, Mario E. Bordon, "A Modified Hopfield Model for Solving the N-Queens Problem," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 6, pp. 6509, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000. | |||
| BibTex | x | ||
| @article{ 10.1109/IJCNN.2000.859446, author = {Ivan N. da Silva and Andre N. de Souza and Mario E. Bordon}, title = {A Modified Hopfield Model for Solving the N-Queens Problem}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {6}, year = {2000}, issn = {1098-7576}, pages = {6509}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859446}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on TI - A Modified Hopfield Model for Solving the N-Queens Problem SN - 1098-7576 SP EP A1 - Ivan N. da Silva, A1 - Andre N. de Souza, A1 - Mario E. Bordon, PY - 2000 VL - 6 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER - | |||
A neural network model for solving the N-Queens problem is presented in this paper. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points. The network is shown to be completely stable and globally convergent to the solutions of the N-Queens problem. Simulation results are presented to validate the proposed approach.
Citation:
Ivan N. da Silva, Andre N. de Souza, Mario E. Bordon, "A Modified Hopfield Model for Solving the N-Queens Problem," ijcnn, vol. 6, pp.6509, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000
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