sample size pattern 中文意思是什麼

sample size pattern 解釋
樣品板
  • sample : n 1 樣品，貨樣。2 標本；榜樣，實例。3 【統計】典型取樣，抽檢查。4 【電訊】信號瞬時值。5 【冶金】 ...
  • size : n 1 大小，尺寸規模身材。2 （鞋帽等的）尺碼，號；（紙張的）開。3 巨大，大量；相當大的分量。4 〈口...
  • pattern : n 1 模範，榜樣；典範。2 型，模型；模式；雛型；【冶金】原型。3 花樣；式樣；（服裝裁剪的）紙樣；圖...
  1. Previous researchers have always determined the sp atial distribution patterns ( sdp ) of castanopsis kawakamii with a sample - dis tance method. however, the distribution patterns may be affected by the quadrat si ze and, in the course of analysis, the density differences among the cluster plots are not considered ; therefore, differences of cluster plot size and the dispersi on degree among individuals of cluster plots can not be known. authers of this pa per have determined the spatial distribution patterns of castanopsis kawakamii population in different habitats by means of non - quadrat distance method and a nalysed the pattern intensity and grain of the sdp. the pattern intensity is defi ned with the relative density differences and the pattern grain can embody the d ispersion degree of the individuals in the plots, and the dispersion degree among the plots. the determined results are as follows. the intensities of the species range in order from strong to week : litsea mollifolia p. kawakamii i. purpure a r. cochinchinensis c. kawakamii c. carlessii d. oldphamii s. superba. the gra ins of the species queue in order from coarse to close : s. superba = litsea mollif olia r. cohinchinensis c. kawakamii = i. purpurea c. carlessii p. racemosam d. oldp hamii. these determined results tally basiclly with the results authers of this paper have got in determining the same plots by means of aggregate index access ing method. in view of this, it is held that the sdp of c. kawakamii is closely related to the habitats and biological features

    前人都是採用樣方方法對格氏栲種群數量的空間格局進行測定，而格局分佈有可能受樣方大小的影響，且分析過程中沒有涉及聚塊間密度差的問題，因而無法掌握種群的聚塊大小差別及聚塊內個體間的離散程度.本研究採用無樣方距離法，測定不同生境的格氏栲種群空間格局，分析格氏栲種群格局的強度和紋理.強度以聚塊和間隙的密度差來定義，紋理則是體現聚塊內個體間的離散程度與諸聚塊間的分離程度.測定結果表明，格氏栲種群格局強度從高到低排列次序為：木姜子蚊母樹冬青茜草樹格氏栲米櫧虎皮楠木荷；格局紋理從粗到細的順序是：木荷=木姜子茜草樹格氏栲=冬青米櫧蚊母樹虎皮楠.這一測定結果與作者採用聚集度指標測定相同樣地格氏栲種群空間格局的結果基本相符.因此，格氏栲空間格局類型及分佈與格氏栲生物學特性及生境的關系密切
  2. But, such a vectorization will bring at least three potential problems : 1 ) structural or local contextual infor mation may be broken down ; 2 ) the higher the dimension of input pattern, the more me mory space are needed for the weight vector related to a classifier ; 3 ) when the dimension of a vector pattern is very high and while the sample size is small, it is easy to be overtrained

    如此轉換至少會帶來三個不足: 1 ）空間或結構信息可能會遭到破壞; 2 ）由於權向量的維數等於輸入模式的維數，當輸入模式維數很大時，權值的存儲空間相應的會很大; 3 ）對于大維數的向量模式，當樣本數不多的時候，利用線性分類器易導致過擬合。
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