轉環蟲 的英文怎麼說
中文拼音 [zhuǎnhuánchóng]
轉環蟲
英文
trochophore-
Assemblage ) represented the coastal shallow - water environment ; factor 2 ( protelphidium tuberculatum assemblage ) represented the alongshore cold - water current area or cold shallow sea environment ; factor 3 ( elphidium magellanicum assemblage ) represented the sh allow sea ( < 20 - 30m depth ) deposit ; factor 4 ( ammonia ketienziensis assemblage ) represented the shallow - sea water more than 50m depth ; and factor 5 ( buccella frigida assemblage ) represented the colder - water sea environment ; and the distribution of factor load accorded with the character of benthic foraminifer community
Q型因子分析揭示ey02 - 2孔5種有孔蟲組合，分別對應濱岸鹽沼環境、黃海沿岸流冷水分佈區、高潮坪淺海沉積環境、水深大於50m的現代淺海環境及較冷的沉積環境。因子載荷的分佈與有孔蟲群落特徵吻合較好。南黃海有孔蟲含量? ?水深轉換函數關系式有一定的局限性，並不能在南黃海陸架地區推廣使用。The results show that the optimal temperature for the hypha growth, hypa color turned, and stroma differentiation is 22. 7, 20. 2 and 18. 1, respectively, and the appropriate temperature for the hypha and stroma growth under artificial culture is 15 - 18 and 14 - 17, respectively
結果表明，蛹蟲草菌絲生長速率最大時的環境溫度為22 . 7 ，轉色的最佳溫度為20 . 2 ，子座分化的最佳溫度為18 . 1 ；在人工栽培時，適宜的發菌溫度為15 ~ 18 ，子座生長的適宜溫度為14 ~ 17 。He was encouraged to see that farmers practicing organic farming did not apply chemical fertilizers and pesticides to their crops but adopted knowledge - based farming methods to work in harmony with the nature and contribute to conservation. " there is an increasing demand for organic products by consumers, particularly among those who are more environment conscious, " dr yeoh said
楊醫生樂意看見高國濯以小生意形式經營的農場得到成功，而農友沒有使用化學合成肥料及殺蟲劑，轉移採用知識型耕作方式，與大自然環境協調，對保育作出貢獻，楊醫生感到鼓舞。The primary factor to limit seed setting was the windy psychro - environment which limits the activities of insects, leading to the insect number to visited flowers decreased. all these factors induced the low setting percentage
結果表明，限制結實的主要因素是高寒多風的環境限制了昆蟲的活動，訪花昆蟲數量減少，從而使花粉轉移效率降低，導致了低的結實率。Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network
然後，分析和闡明了傳統的運動目標檢測方法的不足，並在此基礎上結合研究中的實際實驗環境，提出了一系列解決方法，包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法，針對實驗環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法，為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插值進行畸變校正的方法；緊接著，概述了神經網路的發展歷史和幾種常用神經網路模型的特點，重點研究了前饋型神經網路在模式識別中的應用問題，詳細闡述了基本的bp演算法和學習過程中bp演算法的改進，從而使網路收斂速度更快，解決問題更有效，並在此基礎上，設計了一個基於bp神經網路的運動目標識別系統，給出了實驗結果。分享友人