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首页> 外文期刊>Current Science: A Fortnightly Journal of Research >Detection and identification of seismic signals using artificial neural networks
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Detection and identification of seismic signals using artificial neural networks

机译：使用人工神经网络检测和识别地震信号

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Artificial neural networks (ANNs) are emerging as potential tools for the detection and identification of seismic signals owing to the fact that they can be adapted to fit more complex decision surfaces compared with the conventional techniques, This paper deals with the development of two ANNs, one for the purpose of on-line detection of seismic signals and the other for the identification of the signals. It has been demonstrated that these ANNs, trained with various parameters derived from the digital data as obtained from the Gauribidanur seismic array, India, have excellent capabilities to detect and identify weak seismic signals. [References: 22]
机译：由于与传统技术相比，人工神经网络可以适应更复杂的决策面，因此人工神经网络（ANN）成为检测和识别地震信号的潜在工具。本文涉及两种神经网络的发展，一种用于在线检测地震信号，另一种用于信号识别。已经证明，这些人工神经网络经过从印度Gauribidanur地震阵列获得的数字数据衍生的各种参数训练，具有出色的检测和识别弱地震信号的能力。 [参考：22]

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