Actas de congresos
Neural networks training using the constructivism paradigms
Date
1995-12-01Registration in:
Midwest Symposium on Circuits and Systems, v. 1, p. 546-549.
10.1109/MWSCAS.1995.504497
WOS:A1996BF75Z00135
2-s2.0-0029463724
Author
Universidade Estadual Paulista (UNESP)
Institutions
Abstract
The Backpropagation Algorithm (BA) is the standard method for training multilayer Artificial Neural Networks (ANN), although it converges very slowly and can stop in a local minimum. We present a new method for neural network training using the BA inspired on constructivism, an alphabetization method proposed by Emilia Ferreiro based on Piaget philosophy. Simulation results show that the proposed configuration usually obtains a lower final mean square error, when compared with the standard BA and with the BA with momentum factor.