Applying Deep Learning for Improving Image Classification in Nuclear Fusion Devices

Applying Deep Learning for Improving Image Classification in Nuclear Fusion Devices

Deep learning has become one of the most promising approaches in recent years. One of the main applications of deep learning is the automatic feature extraction with auto-encoders (AEs). Feature extraction, one of the most important stages in machine learning, that can reduce drastically the dimensi...

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Bibliographic Details
Main Authors: Gonzalo Farias, Ernesto Fabregas, Sebastian Dormido-Canto, Jesus Vega, Sebastian Vergara, Sebastian Dormido Bencomo, Ignacio Pastor, Alvaro Olmedo
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Images classification
auto-encoder
future extraction
nuclear fusion
Online Access:https://ieeexplore.ieee.org/document/8537905/

Internet

https://ieeexplore.ieee.org/document/8537905/

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