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惩罚因子的英文

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"惩罚因子"怎么读用"惩罚因子"造句

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  • penalty factor

例句与用法

  • Then , the paper builds the model allocating enterprise resources by the nonlinear programming with fuzzy resources and penalty coefficients combining with the characteristic of enterprise resources
    第二,结合现代企业资源的特性,运用具有惩罚因子的模糊非线性规划模型来实现对模糊边界下的企业资源的优化配置,建立了相应的模型。
  • Improved ga does n ' t depend on choice of penalty factor , competitive elitist model can provide more opportunity to be inherited to offspring for excellent genes , and individual feasibility improved with complex method can accelerate convergence
    同时也说明了本文算法对惩罚因子的选择不敏感;竞争最优保留方法能够给优良基因更大的机会遗传给后代;复合形法改进个体的可行性能够加速算法的收敛。
  • This paper proposes an improved model called ibbk , which punishes severely on deceit using punishment factor , cuts down malicious recommendation dangerousness by employing reputation report system , carries out various punishment to entities in different position of the trust path when trust fail , computes combined trust value with weightiness , and . combines local computing and distribute computing to speed up trust path found
    对此,本文提出了一种改进的方案ibbk信任计算模型,新模型引入惩罚因子加大恶意欺骗惩罚;采用信誉报告减少恶意推荐的危害;信任失败时依据位置进行不同程度的惩罚,对多条路径的推荐综合值计算采用加权有效成功经历次数的方法;采用本地计算与分布式计算相结合的方式减小平均时延。
  • The individual svm is prone to fail in the intrusion detection for the fragility of being attacked . this paper addresses a method using a support vector machines ensemble approach based on negative correlation learning for intrusion detection . using a correlation penalty term in the error function , the aggregate members can be accurate and diverse . and the evolutionary strategy is considered as the best way to automatically determine the individ . ual svms hyperparameters . at last we combine the results of all individual svms using ensemble technique . this distributed parallel detection can strengthen the robustness of the system . simulation results show the effectiveness of the method presented in this paper
    在入侵检测中使用单个的支持向量机容易因"单点失效"而危害系统安全.提出一种基于支持向量机集成的方法来进行入侵检测.它采用负相关学习技术,在误差项中使用相关性惩罚因子使得生成的分类器有更好的多样性和精度;算法采用进化策略来自动地确定个体支持向量机的超参数,避免了需要了解问题的先验知识;最后,采用集成技术来组合个体支持向量机的检测结果.仿真实验表明这一方法有更好的检测性能,并且这种分布式并行检测方法有利于增加入侵检测系统的鲁棒性
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