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Home > english-chinese > "proper network" in Chinese

Chinese translation for "proper network"

常态网络
正常网络


Related Translations:
proper burst:  正常炸点
stair proper:  梯子的主体部分
list proper:  真正的表
proper subquotient:  真子商
proper proportion:  适当比例
proper place:  正确位置
tongue proper:  舌质
proper length:  固有长度静长度真长度
proper stocking:  适度放牧量
proper handling:  适当操作
Example Sentences:
1.Proper network cabling techniques lead to reduce installation costs , better network performance in long term and more flexible to upgrade or change to keep pace with the development of your company
恰当的网络布线不但可减低安装成本,更可确保网络长远在运作上更稳定,当配合公司发展时改动更具弹性。
2.Manual verification of proper network operation after a maintenance window is equally prone to human error , and waiting for trouble tickets to highlight configuration errors is not good operating practice
。维护窗口之后正确网络运行的手动校验倾向于人为错误,而等待加重配置误差的故障标签并不是好的运行实践。
3.It is very important to estimate the basic parameters in helicopter preliminary design . neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods . however , there are some difficulties in using nn , e . g . , how to select a proper network structure and the number of hidden layers . in this paper , structure and connection weight of a three - layer nn are optimized by genetic algorithm , and the optimized network is applied to helicopter sizing . the proposed method can not only give an optimal nn structure and connection weight , but also reduce the prediction error and has the capability of self - learning when the latest data are available . furthermore , this method can be easily applied to helicopter design systems
在直升机初步设计阶段估算其基本参数是很重要的.神经网络的通用性和精度比传统的估算方法有更多的优势,但是在应用神经网络时存在如何选择合适的网络结构和隐层节点数目等一些困难.应用遗传算法优化三层神经网络结构和连接权重,并将优化得到的网络应用于直升机参数选择中.该方法不但可以给出一个最优的神经网络结构和连接权重,而且降低了估算误差,具有及时应用最新数据学习的能力.此外,该方法易于在直升机设计系统中得到应用
4.Abstract : it is very important to estimate the basic parameters in helicopter preliminary design . neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods . however , there are some difficulties in using nn , e . g . , how to select a proper network structure and the number of hidden layers . in this paper , structure and connection weight of a three - layer nn are optimized by genetic algorithm , and the optimized network is applied to helicopter sizing . the proposed method can not only give an optimal nn structure and connection weight , but also reduce the prediction error and has the capability of self - learning when the latest data are available . furthermore , this method can be easily applied to helicopter design systems
文摘:在直升机初步设计阶段估算其基本参数是很重要的.神经网络的通用性和精度比传统的估算方法有更多的优势,但是在应用神经网络时存在如何选择合适的网络结构和隐层节点数目等一些困难.应用遗传算法优化三层神经网络结构和连接权重,并将优化得到的网络应用于直升机参数选择中.该方法不但可以给出一个最优的神经网络结构和连接权重,而且降低了估算误差,具有及时应用最新数据学习的能力.此外,该方法易于在直升机设计系统中得到应用
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