Results 131 to 140 of about 14,001 (154)
Some of the next articles are maybe not open access.
2005
We present a robust recursive total least squares (RRTLS) algorithm for multilayer feed-forward neural networks. So far, recursive least squares (RLS) has been successfully applied to training multilayer feed-forward neural networks. However, if input data has additive noise, the results from RLS could be biased.
JunSeok Lim, Nakjin Choi, KoengMo Sung
openaire +1 more source
We present a robust recursive total least squares (RRTLS) algorithm for multilayer feed-forward neural networks. So far, recursive least squares (RLS) has been successfully applied to training multilayer feed-forward neural networks. However, if input data has additive noise, the results from RLS could be biased.
JunSeok Lim, Nakjin Choi, KoengMo Sung
openaire +1 more source
The International Conference on Electrical Engineering, 2008
K. El-Barbary +3 more
openaire +1 more source
K. El-Barbary +3 more
openaire +1 more source
This study seeks to conduct an empirical evaluation of the performances of two soft computing methodologies comprising the Levenberg-Marquardt Back Propagation Artificial Neural Network (LMBPANN) and the Bayesian Regularisation Backpropagation Artificial Neural Network (BRBPANN).
Larbi, Edwin Kojo +2 more
openaire +1 more source
Larbi, Edwin Kojo +2 more
openaire +1 more source
Cancer statistics for the US Hispanic/Latino population, 2021
Ca-A Cancer Journal for Clinicians, 2021Kimberly D Miller +2 more
exaly
Cancer Statistics for Hispanics/Latinos, 2018
Ca-A Cancer Journal for Clinicians, 2018Kimberly D Miller +2 more
exaly
A New Method of Predicting US and State-Level Cancer Mortality Counts for the Current Calendar Year
Ca-A Cancer Journal for Clinicians, 2004Ahmedin Jemal Dvm, Eric J Feuer
exaly

