meliorated

英 [ˈmiːljəreɪtɪd]

美

v.  改善；改良；修正；变好
meliorate的过去分词和过去式

双语例句

• A Kernel C-Means Clustering Algorithm with Meliorated Initial Center
  初始聚类中心优化选取的核C-均值聚类算法
• Breeding techniques need to be meliorated for improvement of the characters related to super-high yield and the use efficiency for nitrogen, phosphor and water resources.
  培育超级麦品种需要改良现有鉴定技术，培育新品种的超高产性状和对氮、磷、水等资源的使用效率。
• Application and Research of Meliorated ANN-BP Arithmetic in Modeling for Carbon-Black Technics
  改良ANN-BP算法在炭黑工艺建模中的应用与研究
• The results showed that regional cerebral blood flow was meliorated, the volume of focal ischemic infarctions was decreased, that water content in brain tissue obviously decreased, regional MPO activity more inactive, the brain injury is relieved.
  结果表明，该治疗仪可使脑血流改善，脑梗塞体积缩小，脑组织含水量明显下降，局部MPO活性降低，脑损害减轻，并无明显的副作用。
• All above shows that the aerodynamic performance of cascade meliorated obviously with the use of boundary layer blowing-sucking technique. The turning ability of airflow increased, the diffusion factor enhanced, and the total press loss-coefficient decreased.
  结果表明：采用附面层吹吸技术后叶栅的气动性能明显改善，气流转折能力增强，扩散因子增大，总压损失系数减小。
• In addition, the phase compensation of the transformer was meliorated significantly.
  此外对电流互感器的相位补偿也有了很大的改善。
• The paper analyzes the identity authentication mechanism based on challenge/ response, finds out the drawbacks and puts forward a meliorated method.
  对挑战/应答（Challenge/Response）的认证机制进行了分析，指出其存在的缺点，并在此基础上，提出了改进方法。
• On the Cultivation of the Student's Capacity of Self-guided Learning in Setting Teaching The ability of analysis, explore, resolve the problem are improved clearly, The skills and initiative of using resource collaboration learning self-guided learning also are meliorated.
  数据分析表明，通过教学试验，学生在对问题的鉴别、探究和解决能力都有明显提高，学生在协作学习、资源利用和自主学习方面的技巧、能动性都有不同程度的改善。
• Results After embolization for 2~ 6 months, 88.6% hysteromyoma clinical conditions was meliorated, and for 12.4% hysteromyoma was no changed.
  结果术后2￣6个月88.6%的患者临床症状得到明显改善12.4%的患者无变化。
• By analyzing the different fusion theories and comparing their performances, meliorated knowledge-based fusion models are addressed using D-S correlative evidence theory and adaptive fuzzy integral so that the variable capability of the component classifiers according to the input testing samples could be considered during the combination.
  进而对不同融合模型的机理和性能进行了比较研究，并且将基于知识的融合模型&证据理论和模糊积分方法进行了改进，使其能针对识别样本适时表达出成员分类器的性能。