• 神经网络学习过程中,引入了自适应学习速率动量法,加快网络收敛速度提高了网络的辨识精度

    During the self learning process, the adaptive learning rate and momentum gene are introduced to accelerate the rate of convergence and advance the identify accuracy.

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  • 针对BP算法收敛速度特点,隐含上加入关联节点改善网络学习速率适应能力

    Aiming at the slow convergence rate of BP neural network, append a correlative node on hidden layer, improve the adaptive ability and rate of studying of neural network.

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  • 传统强化学习模型整个学习过程中使用恒定学习速率导致在未知环境下收敛速度慢且适应性

    The learning process use the constant learning rate in the traditional reinforce learning model, because of that robot learn in a low convergence speed and with the poor adaptation.

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  • 使用常规pid控制很难满足手指精确位置控制要求,采用依据BPNN原理设计成的常规神经元pid控制器又学习速率收敛速度控制效果不能令人满意

    But if single neuron PID controller designed in terms of BPNN Theory is adopted, the control effect is not satisfactory because the learning rate and speed of convergence are slow.

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  • 详细地讨论了增益学习速率动量网络参数神经网络收敛速度导数脉冲伏安法计算结果影响

    The effects of neural network parameters including gain, learning rate, and momentum on network convergence and DPV computation results have been investigated.

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  • 本文讨论非线性多组分液相色谱速率模型求解过程两种不同的插值方式线性插值拉格朗日插值对模型计算结果收敛速度的影响。

    Two interpolation methods, which are linear interpolation method and the Lagrange interpolation method, are compared for calculating the rate model of multi-component nonlinear liquid chromatography.

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  • 本文讨论非线性多组分液相色谱速率模型求解过程两种不同的插值方式线性插值拉格朗日插值对模型计算结果收敛速度的影响。

    Two interpolation methods, which are linear interpolation method and the Lagrange interpolation method, are compared for calculating the rate model of multi-component nonlinear liquid chromatography.

    youdao

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