A Stock Market Forecasting Model through Integration of Genetic Algorithm and Fuzzy Neural Network
碩士 === 義守大學 === 管理科學研究所 === 85 === Stock market is a very complicated environment which may vary in every minute. In addition, a large number of factors which can affect the stock market. Thus, it is very difficult to estimate the stock market tendency accurately via a single person''s k...
Main Author: | 黃永成 |
---|---|
Other Authors: | 郭人介 |
Format: | Others |
Language: | zh-TW |
Published: |
1997
|
Online Access: | http://ndltd.ncl.edu.tw/handle/09652428968038356555 |
Similar Items
-
A shipping forecasting model of distribution center through integration of genetic algorithm and fuzzy neural network
by: Chin-Ping Wang, et al.
Published: (1999) -
An intelligent stock market forecasting system through artificial neural networks and fuzzy delphi method
by: LEE, Michael, et al.
Published: (1996) -
Using Neural-fuzzy Network Technology to Forecast Taiwan Stock Market:Case of the Higher Price Stocks
by: Hsing Chun Hung, et al.
Published: (2011) -
Apply Grey Relation Analysis, Genetic Algorithms And Fuzzy Neural Network To Forecast Taiwan Stock Exchange Weighted Index
by: Chen, Tsungching, et al.
Published: (2012) -
Using Genetic Algorithms to Optimize Neural Network and Applying It to Forecast Electronics Stocks Index
by: Chen, Tien-Shang, et al.
Published: (2003)