期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：3-3
出版社：Seventh Sense Research Group
摘要：In this paper, we present a new approach for extracting classification rules from feed forward neural networks (NNs) that have been trained on data sets having both discrete and continuous attributes. The proposed starts by first generating rules using single pass Apriori algorithm and then applying Bayesian algorithm for filtering the generated rules.
