灰色预测的演变及其在股票价格预测中的应用

Pei-Han Hsin, Chun-I Chen
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引用次数: 8

摘要

自邓教授[1]提出灰色理论以来,它在许多领域得到了广泛的应用。传统的灰色预测模型GM(1,1)是从原始数据的积累开始,形成一个简单的单调序列。在此基础上,一阶常微分方程离散化系数可用最小二乘法求解。然后,将这些系数代入ODE的特解中作为预测因子。求解过程可在教科书中找到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Evolution of Grey Forecasting and its Application on Stock Price Prediction
Since Grey theory proposed by Prof. Deng [1], it has been widely applied in many fields. The traditional grey forecasting model, which is termed GM (1, 1), starts from accumulation of raw data to form a simple monotonic series. Based on this new series, the coefficients of discretilization of first order ordinary differential equation (ODE) could be solved by least square method. Then, these coefficients could be substituted into the particular solution of ODE to serve as a predictor. The solution procedure could be found in textbook.
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