Title :
Rule extraction from Boolean artificial neural networks
Author :
de Barros, M.M. ; Valadares, Jeferson L F ; Ludermir, Teresa B.
Author_Institution :
Dept. de Inf., Univ. Fed. de Pernambuco, Recife, Brazil
fDate :
6/21/1905 12:00:00 AM
Abstract :
Artificial neural networks (ANNs) are being widely used in many applications with competitive results. Few studies describe how the acquired information is represented by these structures, how we could extract that information and standard ways of analyzing the results. This work presents a guideline for extracting and modeling the knowledge acquired by Boolean ANNs (BANNs)
Keywords :
Boolean algebra; knowledge acquisition; neural nets; Boolean artificial neural networks; information acquisition; rule extraction; Artificial neural networks; Boolean algebra; Data mining; Guidelines; Hardware; Information analysis; Neurons; Random access memory; Read-write memory; Software engineering;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.833457
