Research on Subtraction Degree Forecast of Large-scale Non-circulation Based on Rough Sets and BP Neural Network
Yin Lin-lin · Ruan kexue · 2010
The article takes the large-scale non-circulation in Shenzhen stock market as research example,applying BP neural network and rough set theory to building a prediction system for subtraction degree of large-scale non-circulation.The results show that the system has a high-average accuracy and high practicality,which can provide a reference for ordinary investors and regulators.