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Neural networks learn by adjusting numeric values called weights and thresholds. A weight specifies how strong of a connection exists between two neurons. A threshold is a value,...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of r...
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In ISNN’04, a novel symmetric cipher was proposed, by combining a chaotic signal and a clipped neural network (CNN) for encryption. The present paper analyzes the secur...
ICONIP
1998
13 years 9 months ago
1998
This paper presents a method to induce relational concepts with neural networks using the inductive logic programming system LINUS. Some first-order inductive learning tasks taken...
SOFTCO
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...