摘要
讨论了一类灰色Verhulst模型的初始值优化问题.首先对模型的初始值增加扰动因素,然后通过最小化原始序列的一次累加序列与模拟序列之差,建立非约束优化模型,获得了扰动因素的一个计算公式,并提出一种改进的灰色预测模型.最后,通过实例验证了该改进模型可以有效提高预测精度.
This paper discusses the optimizing initial value of grey Verhulst model,by adding the disturbing factors into the initial value of the model,and minimizing the differences between the 1-AGO sequence and simulation sequence of raw sequence and building an unconstrained programming model. It obtains a formula of disturbing factors,an amendatory grey Verhulst model was proposed in the paper. By comparison and analysis of some examples that amendatory model can have higher precision practicability and reliability
出处
《安阳师范学院学报》
2015年第2期1-5,共5页
Journal of Anyang Normal University
基金
河南省自然科学基金项目(0511013800)
