灰色內障 的英文怎麼說

中文拼音 [huīshǎinèizhàng]
灰色內障 英文
gray cataract
  • 灰 : Ⅰ名詞1 （物質燃燒后剩下的粉末狀的東西） ash 2 （塵土; 某些粉末狀的東西） dust 3 （特指石灰） lime...
  • 色 : 色名詞[口語] （顏色） colour
  • 內 : 名詞1. （內部; 里頭; 里邊） inner; inside; within 2. （妻子或妻子的親屬） one's wife or her relatives 3. （姓氏） a surname
  • 障 : Ⅰ動詞（阻隔; 遮擋） block; hinder; obstruct Ⅱ名詞（遮擋物） barrier; block; obstacle
  • 灰色 : 1. （像木柴灰的顏色） gray; ashy 2. （頹廢失望） pessimistic; gloomy 3. （態度暖昧） obscure; ambiguous
  1. Picture 5. before treatment : on the edge of the lens there are scattered and radiated plump greyish white turbidities which shows the expanding period of cortical cataract

    治療前:晶體周邊散在的，呈輻射狀排列的灰白色混濁且較飽滿，處于皮質性白內障膨脹期表現。
  2. In this paper, the power transformer interior fault diagnosis technique based on the dissolved gas in oil analysis and the principles of genetic algorithm are analyzed. the forecasting models for power transformer interior fault are proposed based on the grey prediction model. the genetic algorithm is applied to estimating optimum coefficients of this forecasting model

    本文對基於變壓器油中溶解氣體分析（ dissolvedgasesanalysis ，簡稱dga ）技術的大型電力變壓器內部故障診斷技術和遺傳演算法原理進行了深入的分析，首次將灰色預測理論引入到大型電力變壓器內部故障預測工作中，運用遺傳演算法實現預測模型的優化，建立了基於遺傳演算法的變壓器內部故障改進灰色預測模型。
  3. The research achievements are as followed : studying the shortages and the improved methods of gm ( 1, 1 ) grey prediction model, considering the characteristic of the transformer chromatographic data, bring forward the method for converting a series of data which are sampled in different interval into a series of data in the same interval. the weakening operator is applied to reconstruct the transformer chromatographic data for attenuating or eliminating the influence of randomicity. the improved prediction model for power transformer interior fault is constructeded

    主要取得了以下研究成果：通過對gm （ 1 ， 1 ）灰色預測模型的缺陷及其改進方法的深入研究，針對變壓器色譜數據序列的特有規律，提出了原始非等間距色譜數據序列的等間距處理方法，運用弱化運算元改造原始序列，淡化或消除原始色譜數據序列由於受各種隨機因素影響所具有的隨機性，給出了適用范圍更廣的變壓器內部故障改進灰色預測模型的建模方法。
  4. The comparison of three models ( single variable time series model 、 multivariable time series model and gray prediction model ) shows that the multivariable time series model ' s prediction precision is the highest. it indicates that using recurrent composed bp networks can exactly predict the boiler fault in order to prevent the fault, and help operator of power plant to adjust the parameters in a permitting range

    通過基於遞推合成bp網路的單、多變量時間序列模型與灰色預測模型的預測精度分析計算表明，應用基於遞推合成bp網路的多變量時間序列模型能較準確的預測鍋爐故障，指導運行人員對機組進行即時調整，使預期的參數在允許范圍內，以避免故障的發生。
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