基于神经网络的无线传感器网络能量测距模型

这篇文章提出了一种以人工神经网络为中心的能量测距模型，通过使用ZigBee测距途径进行实测实验，然后使用实测数据对神经网络进行操练，充沛使用神经网络具有的高度非线性和自适应性，使其具有更精确的测距才能

(This article proposes an energy ranging model centered on artificial neural network. By using the ZigBee ranging method to conduct actual measurement experiments, and then using the measured data to train the neural network, it makes full use of the high nonlinearity and self-efficacy of the neural network. Adaptability, enabling it to have more accurate ranging capabilities)

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