DocumentCode
3188384
Title
A new ANN model and factor analysis of its optimization parameters
Author
Meghabghab, G. ; Kandel, A.
Author_Institution
Dept. of Comput. Sci., Valdosta State Coll., GA, USA
fYear
1993
fDate
4-7 Apr 1993
Firstpage
0.708333333333333
Abstract
A model is presented in which the neuron plays a role in the learning phase through its adaptation of two parameters: the temperature and the level of connectivity of a given neuron. This method permits a neuron to adjust its own local temperature and the local activity of the connections. An extended back-propagation algorithm that includes both synaptical and neuronal parameters is applied to a logic type of problem, specifically, the Exclusive-OR (XOR). This results in reducing the number of cycles of the learning phase
Keywords
Boolean functions; neural nets; optimisation; Exclusive-OR; XOR; back-propagation algorithm; learning phase; logic problem; neuron; neuronal parameters; optimization parameters; synaptical parameters; Artificial neural networks; Biological system modeling; Computer networks; Computer science; Educational institutions; Information processing; Neural networks; Neurons; Supervised learning; Temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Southeastcon '93, Proceedings., IEEE
Conference_Location
Charlotte, NC
Print_ISBN
0-7803-1257-0
Type
conf
DOI
10.1109/SECON.1993.465761
Filename
465761
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