Apply TensorFlow deep learning model for time series forecasting problem
碩士 === 開南大學 === 資訊學院碩士在職專班 === 106 === This study takes the TensorFlow as a backend engine for deep learning. The Multi-Layer Perceptron (MLP) is built to solve the time series forecasting problems. The case study are daily stock closing prices in Taiwan, i.e. the Taiwan Semiconductor Manufacturing...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/y6cses |