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例句与用法
- This paper is a cooperated project with a landfill in city of fuzhou city . the achievement of this research will be utilized in practice
本课题是与福州市某垃圾填埋场合作的横向项目，论文的研究成果将及时应用于生产实践。 - Conclusion : smoothly tiding over shock stage , controlling glucose intake , timely applying hypoglycemic drug and controlling wound infection are key measures for prevention and treatment of complication by hyperglycemia
结论：平稳渡过休克期，控制糖输入量，及时应用降糖药物，预防创面感染，利于防治高血糖症。 - 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 - 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