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Application of Convolution and Auto-Encoder Neural-Networks in Medical-Equipment and Soft-Sensors Based on Deep-Learning Approach

عنوان مقاله: Application of Convolution and Auto-Encoder Neural-Networks in Medical-Equipment and Soft-Sensors Based on Deep-Learning Approach
شناسه ملی مقاله: ICRSIE04_004
منتشر شده در چهارمین کنفرانس بین المللی پژوهش در علوم و مهندسی در سال 1398
مشخصات نویسندگان مقاله:

Mohammad. Mohseniahad - Department of Automation, Petroleum University, Ahwaz, Iran,

خلاصه مقاله:
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

کلمات کلیدی:
Deep Learning, Medical-Equipment, CNN and AE, Soft-Sensor, Training Neural-Network

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/936185/