多传感器信号在8位微控制器上的神经处理

Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Pub Date : 2011-11-10 DOI:10.1109/IDAACS.2011.6072779

O. Roshchupkin, A. Sachenko, V. Kochan

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引用次数: 1

摘要

本文介绍了一种在微控制器上处理多传感器信号的方法。该方法基于多传感器个体函数转换的识别神经方法。与现有方法相比，它可以减少校准点的数量并提高识别的准确性。该方法已在已开发的紫外辐射水平8位微控制器测量系统中实现。

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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Neural processing of multisensor signals at the 8-bit microcontroller

An approach of multisensor signals processing at microcontrollers is described in this paper. This approach is based on the identification neural method of conversion individual function for a multisensor. It allows reducing an amount of calibration points and improving an accuracy of identification in a comparison with existing methods. Proposed approach was implemented in the developed system for measurement of the ultraviolet radiation level using 8-bit microcontrollers.

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Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems

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