Controlling Complexity and Accuracy of Classification Decision Tree Extracted from Trained Artificial Neural Network
A Bondarenko - … Technology and Management Science of Riga …, 2019 - ieeexplore.ieee.org
There is growing number of publications devoted to knowledge extraction from fully
connected feed-forward artificial neural networks. Although there are not many publications …
connected feed-forward artificial neural networks. Although there are not many publications …
[PDF][PDF] Development of Knowledge Extraction Methodology from Trained Artificial Neural Networks
A Bondarenko - 2020 - dom.lndb.lv
Artificial neural networks (ANN) are widely used in machine learning. They are powerful non-
linear models that can be trained in a supervised, semi-supervised, and unsupervised …
linear models that can be trained in a supervised, semi-supervised, and unsupervised …
[PDF][PDF] METODOLOĢIJAS IZSTRĀDE ZINĀŠANU IZGŪŠANAI NO APMĀCĪTIEM MĀKSLĪGAJIEM NEIRONU TĪKLIEM
A BORISOVS, L ALEKSEJEVA - ebooks.rtu.lv
Mākslīgie neironu tīkli (MNT) tiek plaši izmantoti mašīnmācībā. Tie ir jaudīgi nelineāri
modeļi, kurus var apmācīt uzraudzītā, daļēji uzraudzītā un neuzraudzītā veidā. Universāls …
modeļi, kurus var apmācīt uzraudzītā, daļēji uzraudzītā un neuzraudzītā veidā. Universāls …