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English translation for "farima"

法里马
Example Sentences:
1.The research of farima model is emphasized due to its linearity and easier access than nonlinear ones
本文的重点放在对farima模型的研究上,因为它是一个线性模型,实现起来更容易一些。
2.Finally , the prediction method of network traffic is proposed . simulations show that farima ( p , d , q ) is effective for long - range dependent network traffic prediction
最后,根据已经得到的farima ( p , d , q )模型,提出了预测未来业务流流量的方法,并通过实际业务量进行了验证。
3.In order to minimize computing time , simplified prediction procedures are provided , which transform parameter seeking into arma process , and computing complexity and duration are decreased
为了减小计算量,本文对farima模型拟合的方法和具体步骤进行了深入的研究,简化了运算步骤,提出了一种简化的预测方法。
4.In long - range dependent case , a 5 - layer bp is applied to predict the network traffic . simulations show that , in terms of prediction , bp is more precise than farima , but at the cost of computing complexity
研究结果表明,该模型能够较好地预测自相似业务流,特别是在预测精度上比farima模型要高,但是它的计算量较大。
5.The fractional - order control system 、 the theory of fractional - order pi ~ d ~ and analysis method of stability are first discussed . then the model of network traffic control system and its stability are introduced
文章首先介绍了分数阶控制系统、分数阶pi ~ d ~控制器的原理和稳定性分析方法,接着给出了基于farima的网络拥塞控制系统模型。
6.Farima ( p , d , q ) model can describe the nature both of shot - time relations and of long - time relations . through the research of fractional calculus , it is found that farima ( p , d , q ) model is essentially a fractional differential , so network traffic control system is a fractional control system
通过对分数阶微积分的研究,发现farima ( p , d , q )过程实际上是一个分数阶微分模型,因此网络拥塞控制系统是一个分数阶控制系统。
7.Firstly , in this paper , the definition of farima model is introduced , and the generating method of farima process is given . simulations have shown that farima process is self - similar . secondly , procedures are given to obtain the three parameters of farima ( p , d , q ) in self - similar network traffic
接着,介绍了利用farima模型进行建模的过程,即根据网络业务流,求解farima ( p , d , q )模型中的三个参数p 、 d 、 q的过程,即farima模型的拟合过程。
8.Moreover , special aspects of self - similar traffic are summarized . for long - range dependent traffic , two prediction models are given and discussed the prediction results can be applied to reduce loss ratio in allocation of memories in network nodes . the first model is farima ( fractional autoregressive integrated moving average )
根据自相似业务流的长相关特性,本文重点讨论了两种数学模型,目的是用这两种模型对自相似业务流进行预测,进而根据预测结果对计算机网络节点的存储器资源进行合理的分配,使得丢失率达到最小。
Similar Words:
"farila" English translation, "farilhao pt" English translation, "farilhoes is" English translation, "farim" English translation, "farim reg" English translation, "fariman" English translation, "farimang" English translation, "farimita" English translation, "farin" English translation, "farina" English translation