Optimize stock price variation prediction via DOE and BPNN

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Title:	Optimize stock price variation prediction via DOE and BPNN
Authors:	謝素真 Chen, Hsieh Su
Contributors:	財務管理學系 Finance
Keywords:	Stock price forecasting;Back-propagation neural network;Design of experiment;Parameter optimization
Date:	2010
Issue Date:	2014-06-27 00:00:38 (UTC+8)
Abstract:	Stock price variation predictions are at the core of many research issues, and neural networks (NNs) are widely applied and were proven to be more efficient than time series forecasting for stock price forecasting. However, this type of research always de
Appears in Collections:	[財務管理學系] 研討會論文

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