Title :
An exchange rate forecasting method based on probabilistic neural network
Author :
Wang Hua ; Liu Bing-xiang ; Cheng Xiang ; Xiao Xuan
Author_Institution :
Sch. of Inf. Eng., JDZ Ceramic Inst., Jingdezhen, China
Abstract :
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.
Keywords :
economic forecasting; exchange rates; neural nets; probability; complex market; exchange rate forecasting method; exchange rate formation mechanism; foreign exchange market; nonlinear system; probabilistic neural network; vector dimensionality; volatility characteristics; Accuracy; Biological neural networks; Exchange rates; Forecasting; Prediction algorithms; Probabilistic logic; Training; exchange rate; forecast; probabilistic neural network;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023749
