Results 131 to 140 of about 14,001 (154)
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Robust Recursive TLS (Total Least Square) Method Using Regularized UDU Decomposed for FNN (Feedforward Neural Network) Training

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

Interference Suppression with Total Least Square (TLS) Algorithm and Constant Modulus Algorithm (CMA)

The International Conference on Electrical Engineering, 2008
K. El-Barbary   +3 more
openaire   +1 more source

Adjustment of Real-time Kinematic-Global Positioning System (RTK-GPS) Survey Data: A Comparative Performance Analysis of the Back Propagation Artificial Neural Network (BPANN) and the Total Least Squares (TLS) Techniques

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

Cancer statistics for the US Hispanic/Latino population, 2021

Ca-A Cancer Journal for Clinicians, 2021
Kimberly D Miller   +2 more
exaly  

Global cancer statistics

Ca-A Cancer Journal for Clinicians, 2011
Frank Bray
exaly  

Cancer Statistics for Hispanics/Latinos, 2018

Ca-A Cancer Journal for Clinicians, 2018
Kimberly 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, 2004
Ahmedin Jemal Dvm, Eric J Feuer
exaly  

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