Using a competitive learning neural network to evaluate software complexity

Author(s):  
John Sheppard ◽  
William R. Simpson
2000 ◽  
Vol 36 (2) ◽  
pp. 484-491 ◽  
Author(s):  
M. Godoy Simoes ◽  
C. Massatoshi Furukawa ◽  
A.T. Mafra ◽  
J. Cezar Adamowski

1989 ◽  
Vol 01 (02) ◽  
pp. 177-186
Author(s):  
Atilla E. Gunhan ◽  
László P. Csernai ◽  
Jørgen Randrup

We study an idealized neural network that may approximate certain neurophysiological features of natural neural systems. The network contains a mutual lateral inhibition and is subjected to unsupervised learning by means of a Hebb-type learning principle. Its learning ability is analysed as a function of the strength of lateral inhibition and the training set.


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