ID 原文 译文
40676 通过在轨运行数据分析，验证了设计的有效性和高可靠性。 The effectiveness and high reliability of the design are verified through the analysis of the on orbit operation data.
40677 为了解决零和博弈(Zero-sum Game)的GAN(Generative Adversarial Networks)模型中传统对抗性神经网络的判别器损失值过高问题，改进了对抗性神经网络的代价函数。 In order to solve the problem that the discriminator loss value of traditional adversarial neural networks in GAN (Generative Adversarial Networks) model of Zero-sum Game is too high, the cost function of adversarial neural networks is improved.
40678 在零和博弈的非完备信息中，由于博弈对抗的生成器与判别器双方互知的MNIST数字图像信息是有限的，为了恰当的分析出博弈过程中某种因素在对抗中的作用，代价函数在零和博弈对抗神经网络中显得尤为重要。 In the incomplete information of the Zero-sum Game, because the MNIST digital image information than what the generator and the discriminator of the game confrontation know each other is limited, to analyze the role of certain factors in the confrontation of the gaming process, the cost function particularly important in the Generative Adversarial Networks model of Zero-sum Game.
40679 对零和博弈对抗环境中的代价函数选择与性能评价进行相关研究，进而实现获取较大优势的零和博弈。 Research on the selection of cost function and performance evaluation in the confrontation environment of the Zero-sum Game, and then realize the Zero-sum Game with greater advantages.
40680 实验表明：改进型对抗性神经网络的代价函数优于传统对抗性神经网络损失函数方法。 Experimental results show that the cost function of the improved Generative Adversarial Networks is better than the traditional Generative Adversarial Networks loss function method.
40681 电子鼻传感器阵列目前面临传感器数量过多、数据维数过高等问题，导致电子鼻系统体积臃肿、模式识别算法精度差。 Electronic nose sensor arrays are currently facing the problems of too many sensors and high data dimensions, which leads to bloated electronic nose systems and poor accuracy of pattern recognition algorithms.
40682 基于互信息的特征选择算法筛选出电子鼻传感阵列中传感器的最优子集，可以在降低电子鼻系统体积的同时，获得更好的模式识别精度。 By selecting the optimal subset of sensors in the electronic nose sensing array through a feature selection algorithm based on mutual information, it is possible to reduce the volume of the electronic nose system and obtain better pattern recognition accuracy.
40683 目前传统的互信息特征选择算法没有考虑到气体与传感器的特性，应用于电子鼻系统获取的特征子集识别精度较低。 At present, the traditional mutual information feature selection algorithm does not consider the characteristics of the gas and the sensor, and the recognition accuracy of the feature subset obtained by the electronic nose system is low.
40684 针对上述问题，提出一种基于电子鼻系统性能权重的互信息特征选择算法， In this paper, a mutual information feature selection algorithm based on the performance weight of the electronic nose system is proposed.
40685 该算法能够衡量特征的区分性、冗余性和敏感性并筛选出更适合电子鼻阵列系统的传感器子集。 This algorithm can measure the features of distinguishability, redundancy and sensitivity to filter out a subset of sensors that are more suitable for the electronic nose array system.