Nonlinear Grey Bernoulli Model Driven by Power Exponent and Its Application
On the basis of the exponential-driven grey model and the nonlinear bernoulli grey model,this paper constructs the exponential-driven nonlinear grey Bernoulli model,namely NGBM(1,1,eλt)model,and gives the solution process of the model.In parameter optimiza-tion,the genetic algorithm is used to minimize the average relative error and search for the optimal adjustable nonlinear parameter and Bernoulli parameter.Finally,the model is applied to two examples,and the results show that the model has better adaptability,higher fitting precision and forecasting precision than the power-exponent driven grey model and nonlinear grey Bernoulli model.
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