关键词: 模糊曲线法 神经网络 股票预测

Abstract:

This paper presents a method based on the BP neural network for stock market modeling, forecasting and decision-making. In NN- based stock forecasting , the complexity of input data has a negative effect on network training efficiency and forecasting precision, Focusing on solving this problem, a fuzzy curve method is developed to filter variables. This method is developed to eliminate those inputs, which are dependent on other important inputs. The p rocess is fast and can be effectively used on the systems with a large number of inputs and data points. The results show that after data processing, the training time is reduced and the forecasting precision is enhanced.

Key words: fuzzy curve method, neural network, stock forecasting