Although the grey model has been employed in various fields and demonstrated promising
results, most applications focus on precise number predictions. However, owing to the …

The purpose of this paper is to analyze a predicted error in using the GM (1, 1) model based
on the parameter α. The transfer function for the predicted error with the parameter α in the …

This study compared three forecasting models based on the mean absolute percentage
errors (MAPE) of their accuracy in forecasting air pollution in a traffic tunnel: the Grey model …

In tradition, the grey theory is wildly employed for dealing with short-term prediction
problems with rare data. However, only one factor has been considered in the conventional …

The purpose of this paper is to design and implement a grey prediction controller (GPC) via
LabVIEW as a test platform. Grey prediction model GM (1, 1) is used with the aid of first …

We use the class ratio theorem in grey system theory as a new approach for interpolation for
a sequence which is incomplete in the GM (1, 1) model. First, the class ratio theorems are …

According to the grey system theory, GM (1, 1) model is a prediction model, and it aims to
construct the first differential model, which uses the background value of two adjacent points …

Mutual funds become one of the major channels for investors because of professional
management, and the advantage of enjoying profit and sharing risks. The goal of this study …

Abstract 1 combined residual modification with artificial neural network sign estimation to
improve the prediction accuracy. Yao, et al [3] added an adaptive value in the grey …

This paper presents prediction maximum power point tracking (PMPPT) controller for PV-
battery micro-satellite systems with body mounted Solar Panels. The proposed PMPPT …