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
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;
Conference_Titel :
Electrical and Electronics Engineers in Israel, 1991. Proceedings., 17th Convention of
Conference_Location :
Tel Aviv
Print_ISBN :
0-87942-678-0
DOI :
10.1109/EEIS.1991.217664
