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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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/32475

Title:	Dynamically exploring internal mechanism of stock market by fuzzy-based support vector machines with high dimension input space and genetic algorithm
Authors:	邱登裕 Chiu, Deng-Yiv
Contributors:	資訊管理學系 Information Management
Keywords:	Fuzzy;Support;machine;Genetic;market dynamism
Date:	2009
Issue Date:	2014-06-27 01:55:27 (UTC+8)
Abstract:	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
Appears in Collections:	[Department of Information Management] Journal Articles

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