Application of Convolution and Auto-Encoder Neural-Networks in Medical-Equipment and Soft-Sensors Based on Deep-Learning Approach
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Type: Conference paper
Language: English
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ICRSIE04_004
Index date: 5 October 2019
Application of Convolution and Auto-Encoder Neural-Networks in Medical-Equipment and Soft-Sensors Based on Deep-Learning Approach abstract
Artificial Intelligence is a branch of computer science that examines issues like learning and present a system for its implementation. For implementation, Deep learning and Neural Networks are used. In this paper, two Neural Networks and training of each of them have been studied which are the two networks, Convolutional Neural Network and Auto Encoder. In this paper, Training of CNN and AE networks based on deep learning approach and their application in medical equipment and soft sensors are presented
Application of Convolution and Auto-Encoder Neural-Networks in Medical-Equipment and Soft-Sensors Based on Deep-Learning Approach Keywords:
Application of Convolution and Auto-Encoder Neural-Networks in Medical-Equipment and Soft-Sensors Based on Deep-Learning Approach authors
Mohammad. Mohseniahad
Department of Automation, Petroleum University, Ahwaz, Iran,