Improvement of Non-Equidistant GM(1,1) Model and Its Application
Zeng Ling
Abstract
Zeng Ling
Abstract
The accumulating method is introduced into the non-equidistant GM(1,1) model, then the accumulating method non-equidistant GM(1,1) model is proposed.And further, in order to reduce hysteresis error,an optimized background-value construction is given and substituted into the dispersed equation of the proposed model,from which,a new forecasting formula is obtained and can take the place of the white response.The analyzing results conclude that good effects are obtained when the accumulating method is applied into the non-equidistant model and a good forecasting precision of the improved model is achieved.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The accumulating method is introduced into the non-equidistant GM(1,1) model, then the accumulating method non-equidistant GM(1,1) model is proposed.And further, in order to reduce hysteresis error,an optimized background-value construction is given and substituted into the dispersed equation of the proposed model,from which,a new forecasting formula is obtained and can take the place of the white response.The analyzing results conclude that good effects are obtained when the accumulating method is applied into the non-equidistant model and a good forecasting precision of the improved model is achieved.
Key concepts: Equidistant, Value (mathematics), Mathematics, Hysteresis, Applied mathematics, Order (exchange), Computer science, Biological system