Application of Back-propagation Neural Network Model Based on Stock Price Forecasting Model with Technical Indicators
碩士 === 國立臺灣海洋大學 === 電機工程學系 === 100 === The purpose of this thesis base on the four technical indexes, Moving Average (MA), Stochastic (KD), Volume Adjusted Moving Average (VAMA) and Ease of Movement (EMV), used the stock data of history to construct the Back-propagation Neural Network (BPNN).Further...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2012
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Online Access: | http://ndltd.ncl.edu.tw/handle/84735489786355960787 |