Using Hybrid of Genetic Algorithm and Particle Swarm Optimization for Feature Selection based on Aquatic Animal Medical Records
碩士 === 國立屏東科技大學 === 資訊管理系所 === 101 === The primary purpose of the study is to develop a feature selection mode by using the data bases of the fish diseases diagnosed cases. There are 482 disease cases and 128 feature items. To eliminate the input noise characteristics by feature selection mode expec...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2013
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Online Access: | http://ndltd.ncl.edu.tw/handle/82466756237139318027 |