Now, let us have a look at the model of an artificial neuron.
现在，让我们来看看一个人工神经元的模型。
The artificial neuron model and backbone structure of neural network is introduced.
介绍了人工神经元模型与神经网络基本结构。
The higher a weight of an artificial neuron is, the stronger the input which is multiplied by it will be.
人工神经元的权重越高，乘以它的输入的强度便越大。
A novel method which is based on the model of artificial neuron was proposed for quantitative analysis of mixtures.
本文提出一种基于人工神经元模型的新方法对混合物进行定量分析。
Based on adaptive noise canceling principle, a realtime approach of detecting harmonic current by artificial neuron is proposed.
基于自适应噪声干扰对消原理，提出了用人工神经网络进行实时谐波检测的方法。
This function is exactly what is needed for an artificial neuron model to work and the device is no doubt most suitable to construct neural networks.
这种器件的结构和功能非常类似于人工神经单元模型，所以非常适于在神经电路和神经网络系统中应用。
This function is exactly what is needed for an artificial neuron model to work and the device is no doubt most suitable to construct neural networks.
这种器件的结构和功能非常类似于人工神经单元模型，所以非常适于在神经电路和神经网络系统中应用。
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