基于知识的神经网络及其在CRM中的应用

Knowledge-based Neural Network and Its Application in CRM

分析一般神经网络应用于CRM时存在的问题,提出将基于知识的神经网络应用到CRM领域。示例表明,基于知识构造出的神经网络不仅提高了网络的可解释性,而且降低了输出误差,提高了学习速度。

The advantages and disadvantages of using common neural networks in CRM are discussed firstly, then a knowledge-based neural network is proposed to be used in CRM.Finally, an example of KBANN is given, it shows that the KBANN not only improves the interpretation of the network but also reduces the output error and increases the learning rate.