摘要
提出一种基于分布式神经网络的事例相似度评估的体系结构及实现方法 ,即通过输入新旧事例中特征之间的两两相似度 ,利用神经网络来确定新旧事例之间的综合相似度 。
An approach to the case similarity assessment based on ANN in CBR systems is presented. Input layer is the similarity between a new case and an old case. ANN is used to decide the synthetical similarity of the two cases in order to improve the case retrieval performance in CBR systems, thus ill structured decision making problems are supported.
出处
《华中理工大学学报》
CSCD
北大核心
2000年第10期91-93,共3页
Journal of Huazhong University of Science and Technology
基金
国家自然科学基金资助项目! ( 79770 0 36 )
