The Performance Analysis of Deep Belief Networks: A Case Study of PM2.5
碩士 === 國立暨南國際大學 === 資訊管理學系 === 107 === This study mainly discusses whether data preprocessing is helpful for training of Deep Belief Networks(DBN). Using air pollution data, we first lower the noise by preprocessing and fill the missing values. Then we use logarithm(LOG), verification, stepwise r...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/rax6j4 |