## Abstract In a laterally connected neural network which has continuous output functions and has its state updated in block‐sequential mode at discrete times, a condition inequality is derived for the slope of the output function and the stepwidth of the updating rule which ensures that the networ
Optimal path determination in a graph by hopfield neural network
✍ Scribed by S. Cavalieri; A. Di Stefano; O. Mirabella
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 661 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0893-6080
No coin nor oath required. For personal study only.
✦ Synopsis
Recurrent stable neural networks seems to represent an mteresting alternattve to classical algortthms for the search for optimal paths in a graph In this paper a Hopfield neural network ts adopted to solve the problem of findmg the shortest path between two nodes of a graph. The results obtained point out the validtty of the solution proposed and tts capabihty to adapt Itself dynamically to the variattons m the costs of the graph, acquiring an "awareness" of its structure Keywords--Optimization, Path searching in a graph, Hopfield net.
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