2008 11th International Workshop on Cellular Neural Networks and Their Applications, 2008, p.248-251
2008
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Details
- Autor(en) / Beteiligte
- Titel
- The CNN solution to the shortest-path-finder problem
- Ist Teil von
- 2008 11th International Workshop on Cellular Neural Networks and Their Applications, 2008, p.248-251
- Ort / Verlag
- IEEE
- Erscheinungsjahr
- 2008
- Quelle
- IEEE Xplore
- Beschreibungen/Notizen
- Algorithms to find the shortest path within the CNN context are a classical problem nowadays. An important attempt to solve this problem by parallel computing using the properties of autowaves was analyzed. Nevertheless, these solutions were unpractical as they required each cell of the system to remember when a wave went through it. In this text, anomalous properties of autowaves are used to solve the shortest-path-finder problem in a very robust, self-content way.
- Sprache
- Englisch
- Identifikatoren
- ISBN: 142442089X, 9781424420896ISSN: 2165-0144eISSN: 2165-0152DOI: 10.1109/CNNA.2008.4588686Titel-ID: cdi_ieee_primary_4588686
- Format
- –
- Schlagworte
- Cellular neural networks, Color, Evolution (biology), Filtering algorithms, Image processing, Joining processes, Robustness