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

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题名:	Assessing the stock price variation based on the DOE-based optimization of neural network
作者:	謝玲芬 Hsieh, Ling-Feng
贡献者:	運輸科技與物流管理學系 Transportation Technology and Logistics Management
关键词:	Stock price forecasting;Back-propagation neural network;Design of experiment;Financial Statements
日期:	2011
上传时间:	2014-07-28 11:50:06 (UTC+8)
摘要:	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
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