An asynchronous neural network model for shortest path problem Export

@inproceedings{citeulike:3885133, abstract = {Most neural network models are energy based models and there is no guarantee that the network converges to a global optimal solution. A new neural shortest path network model is proposed in which no special convergence procedure needs to be performed. The network can work in a purely asynchronous mode, and is guaranteed to reach the global optimal solution}, author = {Zhao, S. and Dillon, T. S.}, booktitle = {Neural Networks, 1993., IEEE International Conference on}, citeulike-article-id = {3885133}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ICNN.1993.298689}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=298689}, doi = {10.1109/ICNN.1993.298689}, journal = {Neural Networks, 1993., IEEE International Conference on}, keywords = {ann, path, shortest}, pages = {972--976 vol.2}, posted-at = {2009-11-03 03:09:14}, priority = {2}, title = {An asynchronous neural network model for shortest path problem}, url = {http://dx.doi.org/10.1109/ICNN.1993.298689}, year = {1993} }

TY - CONF ID - citeulike:3885133 L3 - citeulike-article-id:3885133 N2 - Most neural network models are energy based models and there is no guarantee that the network converges to a global optimal solution. A new neural shortest path network model is proposed in which no special convergence procedure needs to be performed. The network can work in a purely asynchronous mode, and is guaranteed to reach the global optimal solution JF - Neural Networks, 1993., IEEE International Conference on EP - 976 vol.2 TI - An asynchronous neural network model for shortest path problem T2 - Neural Networks, 1993., IEEE International Conference on SP - 972 KW - ann KW - path KW - shortest AU - Zhao, S AU - Dillon, TS PY - 1993/// UR - http://dx.doi.org/10.1109/ICNN.1993.298689 ER -