Assessing the stock price variation based on the DOE-based optimization of neural network

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Title:	Assessing the stock price variation based on the DOE-based optimization of neural network
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;Financial Statements
Date:	2011
Issue Date:	2014-06-27 00:01:20 (UTC+8)
Abstract:	Stock return predictions are at the core of many research issues, and neural networks (NNs) are widely applied and were proven to be efficient for stock price forecasting. However, the stock return prediction by NNs always determines the parameter setting
Appears in Collections:	[Department of Finance] Seminar Papers

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