Particle Swarm Optimization for Pattern Detection and Seismic Applications
碩士 === 國立交通大學 === 多媒體工程研究所 === 95 === Particle Swarm Optimization (PSO) is adopted to detect parameter pattern (e.g. circle, ellipse, hyperbola and asymptote.) Each particle is represented as parameters of patterns, then swarm of particles search the optimal solution in parameter space. We define ma...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/30834450966114442759 |