DocumentCode
3157993
Title
Learning by choice of internal representations-feed forward nets with binary weights
Author
Saad, D. ; Marom, E.
Author_Institution
Fac. of Eng., Tel Aviv Univ., Ramat Aviv, Israel
fYear
1991
fDate
5-7 Mar 1991
Firstpage
199
Lastpage
202
Abstract
The authors have shown (Complex syst. vol.4, p.107 of 1990) a method for deriving the CHIR algorithm, whereby the internal representations as well as the weights are allowed to be modified, via energy minimization consideration. Computer simulations show a fast training process for this algorithm in comparison with the Back-Propagation and CHIR algorithms, both used in conjunction with a feed-forward net with continuous weights. These simulations include the restricted instances of parity, symmetry and parity-symmetry problems
Keywords
digital simulation; feedforward neural nets; learning (artificial intelligence); binary weights; choice of internal representations; energy minimization; fast training process; feedforward net training; parity; simulations; symmetry; Computer simulation; Convergence; Equations; Feedforward neural networks; Feedforward systems; Feeds; Minimization methods; Multi-layer neural network; Neural networks; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Electronics Engineers in Israel, 1991. Proceedings., 17th Convention of
Conference_Location
Tel Aviv
Print_ISBN
0-87942-678-0
Type
conf
DOI
10.1109/EEIS.1991.217664
Filename
217664
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