An SOM(self-organizing feature maps)-based integrated network, namely ICBP-SOM, is constructed by applying the ICBP network model to the BP-SOM architecture. BP-SOM is a learning algorithm put forward by Ton Weijters, which aims to overcome some of the serious limitations of BP in generalizing knowledge from certain types of learning material. The motivation of presenting the integration is to employ BP-SOM good knowledge interpretation ability and the ICBP good generalization and adaptability to construct an ICBP-SOM, which processes favorable knowledge representation capability and competitive generalization performance. The experimental results on six benchmark data sets validate the feasibility and effectiveness of the integration.