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调整网络的英文

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"调整网络"怎么读用"调整网络"造句

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  • adjustment network

例句与用法

  • By adjusting the parameters of the neural network , the ratio of recognition is improved efficiently
    通过调整网络的参数,有效地提高识别率。
  • It provides theoretical foundation to improve and adjust network performance
    这些结果为进一步改善和调整网络性能、优化网络配置提供了理论依据。
  • At the same time , it is adjusted on - line that the central value and width of the network membership function according to system error
    同时根据系统误差,在线的调整网络隶属度函数的中心值和宽度。
  • It belongs to heuristic optimization methods . since loads are varying all the time , we should adjust the topology to reduce the power losses
    由于系统负荷是不断变化的,针对不同的负荷情况应该调整网络拓扑结构以达到网损最小的目的。
  • Radbas function neural network method makes use of self - learning function of neural network and automatic adjusted tentatively value , so self - adapted capacity of the algorithms was strength
    径向基函数神经网络法利用了神经网络的自学习功能,自动调整网络权值,所以其算法自适应能力很强。
  • The network weights are regulated according to the error between the reference model and the plant , and the structural uncertainties and unknown disturbances are counteracted on line by the neural network
    该控制器根据被控对象和参考模型之间的误差调整网络权值,在线抵消被控对象的未建模动态特性和不确定因素。
  • On the basis of above work , the neural network model of bottomhole pressure during under - balanced drilling is established , including determining network structure by using empirical method , adjusting the network weight using study algorithm
    在此基础上,建立了欠平衡钻井井底压力的神经网络模型,包括用经验方法确定网络结构,用学习算法调整网络的权值。
  • Experimental results show that this ep - trained mlp model can generate a chaotic series , whose attractor can be reconstructed better than that generated by the bp - trained mlp model and which generates many chaotic sequences by changing weights of this mlps very easily
    计算机仿真结果表明:该模型比bp算法训练的神经网络模型能更好地重构混沌吸引子,调整网络权值即可产生多种混沌序列。
  • The simulation results show the good performance for the system by using network to adjust the parameters and the recurrent weight of neural network on - line dynamically on the condition of variety of system parameter and the impact of outside uncertainty factors
    仿真结果表明,当系统参数动态变化或受到外部不确定因素影响时,利用神经网络来在线调整网络的隶属函数参数以及神经网络递归权值,使系统具有良好的动静态性能。
  • On the base of the single mobile intelligent network , the integrated mobile intelligent network forms through reasonable resource utilization , conformity and regulating network structure . it can support gsm network and cdma network simultaneously . as the multi - mobile - network operator appears and the user demand increases , the integrated mobile intelligent network produces
    移动综合智能网是在单一的移动智能网的基础上,通过合理利用资源,整合和调整网络结构,构成的能同时支持gsm网和cdma移动网用户的综合性的移动智能网,它是随着运营商的多移动网的建成使用后,随着用户的需要而产生的。
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