Review and Emprove the Quality of Service in Satellite Network Using OptimizationAlgorithms
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
MEFS05_080
تاریخ نمایه سازی: 29 فروردین 1397
Abstract:
In this article improvement of service quality in LEO9 (Low Earth Orbits) satellite networks using perceptron neural network is studied. Proposed model in studying and improving service quality of LEO satellites has suitable accuracy and based on obtained information, itcan be used as a tool for improving situation. Finally for critical areas of satellite mission which needs accuracy of positioning system, error analysis was done and results showed that introduced system and algorithm can present accuracy of less than 1 by using neuralnetwork.
Keywords:
LEO Satellite Network , Optimization Algorithm of Neural Networks
Authors
Samaneh Ghani
Islamic Azad University, Arak Branch
Morteza Mosavi
Islamic Azad University, Ashtian Branch
Sara Jahani
Islamic Azad University, Ashtian Branch