Astronomical Data Analysis with Machine Learning
Publish place: EighthMajor Electrical Engineering Conference
Publish Year: 1398
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
NCEEM08_034
تاریخ نمایه سازی: 7 آبان 1398
Abstract:
This article is a review of past work on machine learning. In this paper, we have tried to examine machine learning strategies in astronomical data. And it can be proven that machine learning is a good way to analyze data. And review the methods we have used in previous articles for classification and Bayesian methods and to study large-scale datasets.
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Authors
Mikaeil Ahmadi
MSc, Department of Electrical Engineering, Majlesi Branch, Islamic Azad University, Isfahan, Iran.
Seyed Abolfazl Hosseini
Assistant Professor, Department of Electrical Engineering, Shahr-e-Ray Branch, Islamic Azad University Shahr-e-Ray, Iran.