M. Dornier et al., EVALUATION OF THE SIMPLEX-METHOD FOR TRAINING SIMPLE MULTILAYER NEURAL NETWORKS, NEURAL COMPUTING & APPLICATIONS, 7(2), 1998, pp. 107-114
A learning algorithm based on the modified Simplex method is proposed
for training multilayer neural networks. This algorithm is tested for
neural modelling of experimental results obtained during crossflow fil
tration tests. The Simplex method is compared to standard back-propaga
tion. Simpler to implement, Simplex has allowed us to achieve better r
esults over four different databases with lower calculation times. The
Simplex algorithm is therefore of interest compared to the classical
learning techniques for simple neural structures.