利用综合数据训练神经网络对飞机进行分类

2019 Systems of Signals Generating and Processing in the Field of on Board Communications Pub Date : 2019-03-01 DOI:10.1109/SOSG.2019.8706744

A. N. Belov, A. Zarubin, A. A. Savelieva, A. Tarlykov

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引用次数: 0

摘要

本文描述了一种用于飞机分类、定位和参数估计问题的神经网络训练数据的生成方法。所使用方法的标准描述、顶级算法及其配置细节。对简化后的问题进行描述、建模和求解;结果也包括在内。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Use Of Synthetic Data For Training The Neural Network To Classify The Aircrafts

The article describes a method to generate training data for the neural network used in aircrafts’ classification, localization and parameters’ estimation problem. The standard description of the approach used, top-level algorithms and their configuration details provided. The simplified problem described, modeled and solved; results also included.

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2019 Systems of Signals Generating and Processing in the Field of on Board Communications

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