基于神经网络的伙伴选择协商模型研究

Partner selection negotiation model based on neural network

为了更好的在伙伴选择中对供应商进行评判,提出建立基于BP神经网络的伙伴选择智能协商模型。模型经过训练学习,使其拥有商家的思维方式,并对供应商可协商和非可协商因素进行分析,对供应商做出客观评价。供应商通过对可协商因素进行调节,得到双方都比较满意的协商结果。

In order to better carry on the judgment in the partner selection to the supplier, the agent negotiation model of partner selection based on BP neural network is established in this paper. After learning, the model is able to have business＇s thinking mode, and analyze the supplier＇s negotiable and non-negotiable factors, finally makes the objective evaluation to the supplier. The supplier can make adjustment through factors of may negotiation, and finally the quite satisfactory negotiation results of both sides is obtained.