Application of Back-propagation Neural Network Model Based on Stock Price Forecasting Model with Technical Indicators

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...

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Bibliographic Details
Main Authors:	Che-Lun Chang, 張哲綸
Other Authors:	Jung-Chien Li
Format:	Others
Language:	zh-TW
Published:	2012
Online Access:	http://ndltd.ncl.edu.tw/handle/84735489786355960787

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