survey on M31 Galaxy Image Reconstruction with Deep Learning Neural Networks
Publish place: The 4th conference on electrical engineering, mechanical engineering, computer science and engineering
Publish Year: 1398
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
EMECCONF04_012
تاریخ نمایه سازی: 11 اسفند 1398
Abstract:
In this study, we review and propose the Galaxy M31 and propose a new deep learning method and CNN method because it avoids unnecessary connections and for training data from opposing and meta-landing techniques. We suggest. Because this method is smart and self-teaching. Using increased data improves image quality because the Galaxy M31 follows the fractal model.
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Authors
Mikaeil Ahmadi
MSc Telecommunication from majlesi azad university
Seyed abolfazl Hosseini
Assistant Professor at Islamic Azad University Shahr-e-Ray-Ian