Faint Object Classification Using Artificial Neural Networks
1994 ◽
Vol 161
◽
pp. 249-252
Keyword(s):
Artificial Neural Network techniques are applied to the classification of faint objects, detected in digital astronomical images, and a Bayesian classifier (the neural network classifier, NNC hereafter) is proposed. This classifier can be implemented using a feedforward multilayered neural network trained by the back-propagation procedure (Werbos 1974).
2010 ◽
Vol 61
(4)
◽
pp. 235-240
◽
2019 ◽
Vol 1
(1)
◽
pp. 53-57
2014 ◽
pp. 58-67
◽
1991 ◽
Vol 45
(10)
◽
pp. 1706-1716
◽
2016 ◽
Vol 38
(2)
◽
pp. 37-46
◽
2017 ◽
Vol 43
(4)
◽
pp. 26-32
◽
2020 ◽
Vol 17
(1)
◽
pp. 256
◽