Kahramanlı, HumarAllahverdi, Novruz2020-03-262020-03-2620089.78142E+12https://dx.doi.org/10.1109/SIU.2008.4632649https://hdl.handle.net/20.500.12395/228012008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU -- 20 April 2008 through 22 April 2008 -- Aydin -- 74111Although Artificial Neural Network (ANN) usually reaches high classification accuracy, the obtained results sometimes may be incomprehensible. This fact is causing a serious problem in data mining applications. The rules that are derived from ANN are needed to be formed to solve this problem and various methods have been improved to extract these rules. In this study for the purpose of extracting rules from ANN which has been trained for classification has been used OptaiNET that is an Artificial Immune Algorithm (AIS) and a set of rules has been formed for heart diseases. The proposed method is named as OPTBP. ©2008 IEEE.tr10.1109/SIU.2008.4632649info:eu-repo/semantics/closedAccessConference ObjectN/A