Transient signal classifier using constrained total least squares extracted features, nearest-neighbor association, and probabilistic neural networks

1993 ◽  
Author(s):  
Theagenis J. Abatzoglou ◽  
Hal B. Arnold ◽  
Donald F. Specht
Keyword(s):  
Neural Networks ◽  
Least Squares ◽  
Nearest Neighbor ◽  
Total Least Squares ◽  
Transient Signal ◽  
Probabilistic Neural Networks

MEASURING THE PREDICTABILITY OF NOISY RECURRENT TIME SERIES

1993 ◽  
Vol 03 (03) ◽  
pp. 797-802
Author(s):  
R. WAYLAND ◽  
D. PICKETT ◽  
D. BROMLEY ◽  
A. PASSAMANTE
Keyword(s):  
Time Series ◽  
Least Squares ◽  
Additive Noise ◽  
Nearest Neighbor ◽  
Least Squares Method ◽  
Total Least Squares ◽  
Short Time Series ◽  
Forecasting Method ◽  
Noisy Time Series ◽  
Short Time

The effect of the chosen forecasting method on the measured predictability of a noisy recurrent time series is investigated. Situations where the length of the time series is limited, and where the level of corrupting noise is significant are emphasized. Two simple prediction methods based on explicit nearest-neighbor averages are compared to a more complicated, and computationally expensive, local linearization technique based on the method of total least squares. The comparison is made first for noise-free, and then for noisy time series. It is shown that when working with short time series in high levels of additive noise, the simple prediction schemes perform just as well as the more sophisticated total least squares method.

Total least squares for block training of neural networks

1999 ◽  
Vol 25 (1-3) ◽  
pp. 213-217
Author(s):  
Angel Navia-Vázquez ◽  
Anı́bal R. Figueiras-Vidal
Keyword(s):  
Neural Networks ◽  
Least Squares ◽  
Total Least Squares
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