Dynamically exploring internal mechanism of stock market by fuzzy-based support vector machines with high dimension input space and genetic algorithm

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題名:	Dynamically exploring internal mechanism of stock market by fuzzy-based support vector machines with high dimension input space and genetic algorithm
作者:	邱登裕 Chiu, Deng-Yiv
貢獻者:	資訊管理學系 Information Management
關鍵詞:	Fuzzy;Support;machine;Genetic;market dynamism
日期:	2009
上傳時間:	2014-06-27 01:55:27 (UTC+8)
摘要:	In the study, a new dynamic fuzzy model is proposed in combination with support vector machine (SVM) to explore stock market dynamism. The fuzzy model integrates various factors with influential degree as the input variables, and the genetic algorithm (GA
顯示於類別:	[資訊管理學系] 期刊論文

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