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首页> 外文期刊>Network Daily News >University of Sannio Researchers Have Provided New Study Findings on Earth Observations and Remote Sensing (On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification)
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University of Sannio Researchers Have Provided New Study Findings on Earth Observations and Remote Sensing (On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification)

机译:Sannio大学的研究人员提供了新的研究结果对地观测和远程传感(基于电路混合量子神经遥感图像的网络分类)

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By a News Reporter-Staff News Editor at Network Daily News – Current study results on earth observations and remote sensing have been published. According to news reporting out of Benevento, Italy, by NewsRx editors, research stated, “This article aims to investigate how circuit-based hybrid quantum convolutional neural networks (QCNNs) can be successfully employed as image classifiers in the context of remote sensing.”
机译:由一个新闻记者在网络新闻编辑每日新闻——地球上目前的研究结果观测和遥感出版。战后,意大利,由NewsRx编辑、研究本文旨在探讨如何说。对混合量子卷积神经可以成功地使用网络(QCNNs)图像分类器在远程的上下文感应。”

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