COOPERATIVE PREY HERDING BASED ON DIFFUSION ADAPTATION

Distributed and Collaborative Signal Processing

Přednášející: Ali H. Sayed, Autoři: Sheng-Yuan Tu, Ali H. Sayed, University of California Los Angeles, United States

Mobile adaptive networks consist of a collection of nodes with learning and motion abilities that interact with each other locally in order to solve distributed processing and distributed inference problems in real-time. In this paper, we develop adaptation algorithms that exhibit self-organization properties and apply them to the model of cooperative hunting among predators. The results help provide an explanation for the agile adjustment of network patterns in the interaction between fish schools and predators.

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http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5947167

Informace o přednášce

Nahráno:	2011-05-27 09:30 - 09:50, Club B
Přidáno:	16. 6. 2011 00:50
Počet zhlédnutí:	45
Rozlišení videa:	1024x576 px, 512x288 px
Délka videa:	0:23:00
Audio stopa:	MP3 [7.79 MB], 0:23:00