• In the paper, a BP network in which the factors to effect groundwater levels are set as input neurons and the groundwater level is set as output neuron, was established to forecast groundwater level.

    本文把影响地下水位的因素集作为网络的输入向量,地下水位本身作为网络的输出向量,构成了预测地下水位的BP网络模型。

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  • The control strategy unites single neuron PI control algorithm and the predictive model based on neural network. The output of the controller is determined by PI algorithm.

    采用单神经元PI控制算法与神经网络预测模型相结合的控制策略,用PI控制规律来确定控制器的输出。

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  • The output part of a neuron. It has sensitive membrane, which can carry the spike or.

    神经元的输出部分,该部分具有敏感膜,可传导。

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  • A simple implementation method of the piecewise linear output function of a neuron by SETMOS structure was proposed.

    提出了一种结构简单的神经元分段线性输出函数SETMOS实现方式。

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  • By adjusting the weights of an artificial neuron we can obtain the output we want for specific inputs.

    通过调节人工神经元的权重,我们能不能获得我们想要的、真对特定输入的输出。

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  • A new nonlinear output tacking controller has been designed in this paper, which combined the nonlinear stability inversion system theory with the single-neuron adaptation PID controller.

    把非线性逆系统原理和单神经元自适应PID控制相结合,设计出一种新的非线性输出跟踪控制器。

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  • Variable threshold value artificial neuron is that the threshold value of variable threshold value artificial neuron varies along with input and output.

    阈值可变人工神经元的阈值随神经元的输入信息和输出结果而变化,为解决单调非线性模拟量精确测量问题提供了理论依据。

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  • The model consists of three neuron layers: input layer with 12 nodes, output layer with 22 nodes and hidden layer.

    BP神经网络模型的输入层设12个结点,输出层设22结点,设一层隐含层。

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  • The model consists of three neuron layers: input layer with 12 nodes, output layer with 22 nodes and hidden layer.

    BP神经网络模型的输入层设12个结点,输出层设22结点,设一层隐含层。

    youdao

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