摘要
供应链管理代表了当前经济环境下的趋势与需求,其中的伙伴企业选择是其主要研究的问题之一。本文提出了一种基于径向基函数神经网络集成的供应商识别方法。该方法首先通过系统聚类,在每一类中单独训练具有一定差异度的单个径向基函数神经网络,并加以集成,构成以系统聚类与RBF神经网络相结合的模型,以解决供应链的企业伙伴选择问题。最后以企业为背景,运用这种模型解决实际问题,并给出了结果。
Supply Chain Management （SCM） represents trend and need of current economic development, the option of partners plays an important role in the foundation of supply chain. This paper presents a method for supplier identify based on the neural network integration. First the method gathers the type through a system, train a RBF nerve network of having the certain different degree, and takes into gather. Constitute the model that gathers the type and RBF nerve networks to combine together with the system, to resolve the business enterprise colleague＇s choice problem of the supply chain, Taking business enterprise as the background finally, makes use of this kind of model to resolve the actual problem, and concludes the result.
出处
《物流科技》
2006年第10期113-115,共3页
Logistics Sci-Tech
关键词
供应商
RBF神经网络
神经网络集成
系统聚类
the supplier
RBF nerve network system
neural network ensembles
system algorithm
