Abstract
Presents a neural network based near-optimal routing algorithm. It employs a modified Hopfield neural network (MHNN) as a means to solve the shortest path problem. It also guarantees a speedy computation that is appropriate to multi-hop radio networks. The MHNN uses every piece of information that is available at the peripheral neurons in addition to the highly correlated information that is available at the local neuron. Consequently, every neuron converges speedily and optimally to a stable state. The convergence is faster than what is usually found in algorithms that employ conventional Hopfield neural networks. Computer simulations support the indicated claims. The results are relatively independent of network topology for almost all source-destination pairs.
Original language | English |
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Title of host publication | ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing |
Subtitle of host publication | Computational Intelligence for the E-Age |
Editors | Kunihiko Fukushima, Lipo Wang, Jagath C. Rajapakse, Soo-Young Lee, Xin Yao |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1771-1776 |
Number of pages | 6 |
ISBN (Electronic) | 9810475241, 9789810475246 |
DOIs | |
Publication status | Published - 2002 |
Event | 9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore Duration: 2002 Nov 18 → 2002 Nov 22 |
Publication series
Name | ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age |
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Volume | 4 |
Other
Other | 9th International Conference on Neural Information Processing, ICONIP 2002 |
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Country/Territory | Singapore |
City | Singapore |
Period | 02/11/18 → 02/11/22 |
Bibliographical note
Publisher Copyright:© 2002 Nanyang Technological University.
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
- Signal Processing