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文章提出了一个由外销商训练的基于一种新型模糊小脑神经网络的Agent外贸协商模型。由于模糊小脑神经网络训练快速性,所以客户在输入了购买信息之后,可以及时获得相关评价,使客户最终能以协商的方式与Agent达成协议,提高了工作效率,仿真试验也证明了其评价的正确性。
This paper presents a foreign trade negotiation model based on a new type of fuzzy cerebellum neural network trained by exporters. Due to the fast training of fuzzy cerebellum neural network, customers can obtain the relevant evaluation in time after entering the purchase information, so that the client can finally reach an agreement with the agent by negotiation and improve the work efficiency. The simulation test also proves that the evaluation Correctness