Temperature Prediction Using Logistic Regression and Two-factor Fuzzy Time Series Model
碩士 === 國立臺灣科技大學 === 電機工程系 === 104 === In this study, a novel forecasting method for the temperature is proposed. The proposed method combines a learning idea into the two-factor fuzzy time series model proposed in the literature [1]. The considered factors for temperature prediction are two factors,...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2016
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/jwy725 |