基于Conformable分数阶导数的灰色Bernoulli模型OA北大核心CSTPCD

To enhance the adaptability of the grey Bernoulli model to various real data series,a grey Bernoulli model based on Conformable fractional order derivatives is proposed by taking advantage of the fractional order calculus in describing complex systems.It is found that the proposed model can be converted to some classical grey prediction models by replacing its structural parameters,which reflects its uniformity.Moreover,the particle swarm optimization algorithm is used to solve the planning model to obtain the optimal hyperparameters of the proposed model.The experimental results show that the two evaluation indicators of the proposed model are superior to the five competing algorithms,which confirms the validity and feasibility of the new model.