神经控制器在砌体断层扫描中的应用

2018 International Interdisciplinary PhD Workshop (IIPhDW) Pub Date : 2018-05-01 DOI:10.1109/IIPHDW.2018.8388351

T. Rymarczyk, G. Kłosowski

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引用次数: 2

摘要

本文提出了一种基于人工神经网络的陶(泥)砖墙体上升潮层析成像研究的新方法。一个由多个神经网络组成的模型以单个网络生成单个像素图像的方式进行开发。仿真实验结果验证了该方法的有效性。

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 a neural controller in masonry tomography

This article presents the original method of tomographic investigation of rising damp in walls made of ceramic (clay) bricks based on artificial neural networks. A model consisting of multiple neural networks was developed in such a way that a single network generates a single pixel image. The results of simulation experiments confirmed the high efficiency of the presented method.

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来源期刊

2018 International Interdisciplinary PhD Workshop (IIPhDW)

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