Application of Convolution and Auto-Encoder Neural-Networks in Medical-Equipment and Soft-Sensors Based on Deep-Learning Approach
Application of Convolution and Auto-Encoder Neural-Networks in Medical-Equipment and Soft-Sensors Based on Deep-Learning Approach
mohamad mohseni ahad1
1) Department of Automation, Petroleum University, Ahwaz, Iran
Publication :
4th.International Conference on Researches in Science & Engineering & International Congress on Civil, Architecture and Urbanism in Asia(4icrsie.com)
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, Convolution 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
Keywords :
Deep Learning
Medical-Equipment
CNN and AE
Soft-Sensor
Training Neural-Network