By Topic

An exchange rate forecasting method based on probabilistic neural network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Wang Hua ; Sch. of Inf. Eng., JDZ Ceramic Inst., Jingdezhen, China ; Liu Bing-xiang ; Cheng Xiang ; Xiao Xuan

Foreign exchange market is a complex market, with a high degree of volatility characteristics. Exchange rate formation mechanism and the factors affecting exchange rate volatility is also very complex, is a nonlinear system, it is difficult to accurately forecast, probabilistic neural network is applied to the frontiers of forecast, and aimed at the characteristics of probabilistic neural network to pretreatment the exchange of data and forecast the tendency. And by changing the vector dimensionality experiment obtain the best entry to embed dimensionality, tested and improved the precise prediction and valuable.

Published in:

Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on  (Volume:6 )

Date of Conference:

12-14 Aug. 2011