Exploring Stock Market Dynamism by Applying Dynamic Fuzzy Model in Combination with Support Vector Machine

Exploring Stock Market Dynamism by Applying Dynamic Fuzzy Model in Combination with Support Vector Machine

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碩士 === 中華大學 === 資訊管理學系 === 94 === In the study, a new dynamic fuzzy model is proposed in combination with support vector machine (SVM) to forecast stock market dynamism. In this new integrated model, the fuzzy model integrates various influence factors as the input variables, and the genetic algori...

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Bibliographic Details
Main Authors:	Chen Ping Jie, 陳炳傑
Other Authors:	Deng-Yiv Chiu
Format:	Others
Language:	zh-TW
Published:	2006
Online Access:	http://ndltd.ncl.edu.tw/handle/75934437255229667721

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