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سی و یکمین کنفرانس بین المللی مهندسی برق
Effect of Physical Characteristics on Artificial Neural Network Error Reduction for Indoor Propagation Modeling
نویسندگان :
SeyedehMounes Eslami
1
Amir Ahmad Shishegar
2
1- دانشگاه صنعتی شریف
2- دانشگاه صنعتی شریف
کلمات کلیدی :
indoor propagation،artificial neural network،ray-tracing
چکیده :
In this paper, we examine the effect of physics-based input data in artificial neural network (ANN) for indoor propagation. Our prior knowledge of electromagnetic propagation forms, enables us to predict path loss for a specified geometry. There is a good agreement between ANN predicted output and ray-tracing results for a simple room and the error reduces notably compared to related works. Additionally, we explore feature extraction for more complex scenarios.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2
