Using Long Short-Term Memory Deep Learning in PM2.5 Multivariate Time Series Data Prediction research
碩士 === 開南大學 === 資訊學院碩士班 === 107 === Abstract This research builds a Long Short-Term Memory (LSTM) model to forecast univariate and multivariate Time Series Data by using TensorFlow, which is an open source platform for machine learning. The subject of research is the PM2.5 air quality index (AQI) p...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/797r29 |