基于人工神经网络的谱图识别方法

IEEE-Siberian Workshop of Students and Young Researches. Modern Communication Technologies SIBCOM-2001. Proceedings (Cat. No.01EX452) Pub Date : 2001-11-28 DOI:10.1109/SIBCOM.2001.977514

N. L. Orlikov, R.S. Petrakov

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引用次数: 0

摘要

研究了基于s型函数、线性函数和阶跃函数的人工神经网络谱图识别方法。结果表明，神经技术的应用在本质上简化了技术设备与计算机的接口。在光谱分析问题中，使用人工神经网络处理谱图强加问题，比使用统计方法得到更精确的结果。

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Method of spectrogram recognition by artificial neural network

Methods of spectrogram recognition by artificial neural network based on sigmoid, linear and stepped functions are considered. It is shown that the application of neural technologies essentially simplifies the interfacing of technological devices with computers. In the spectrum analysis problem, using the artificial neural network in the case of spectrogram imposition gives more exact results than statistical methods.

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IEEE-Siberian Workshop of Students and Young Researches. Modern Communication Technologies SIBCOM-2001. Proceedings (Cat. No.01EX452)

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