A distributed PSO-Based Feature Selection and Parameters Optimization system for Support Vector Machines
碩士 === 華梵大學 === 資訊管理學系碩士班 === 93 === The paper proposed a distributed data mining architecture based on the web service technology by using the Particle Swarm Optimization (PSO) and Support Vector Machines (SVM). PSO is used as the input features selection on the server side, while SVM is used as th...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2005
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/27745483913569475426 |