準顯性遺傳 的英文怎麼說

中文拼音 [zhǔnxiǎnxìngyízhuàn]
準顯性遺傳 英文
quasi-dominant inheritance
  • 準 : Ⅰ名詞1 （標準） standard; guideline; criterion; norm 2 （目標） aim; target Ⅱ動詞1 （依據; 依照）...
  • 顯 : Ⅰ形容詞1 （明顯） apparent; obvious; noticeable; evident 2 （有名聲有權勢的） illustrious and inf...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 遺 : 遺動詞[書面語] （贈與） offer as a gift; make a present of sth : 遺之千金 present sb with a gener...
  • 傳 : 傳名詞1 （解釋經文的著作） commentaries on classics 2 （傳記） biography 3 （敘述歷史故事的作品）...
  • 顯性 : [生物學] dominance顯性性狀 dominant character; 顯性修飾因子 dominigene; 顯性遺傳 dominant inheritance
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  1. Genetic algorithm, as a computational model simulating the biological evolution process of the genetic selection theory of dar - win, is a whole new global optimization algorithm and is widely used in many fields with its remarkable characteristic of simplicity, commonability, stability, suitability for parallel processing, high - efficiency, and practibility. on the other hand, there are many op - timization problems in the field of digital image processing, such as image compression, pattern - recognition, image rectification, image segmentation, 3d image recovery, image inquiry, and or so. in fact all these problems can be generalized as the problem of searching for a global optimal solution in a large solution space, which is the classic application field of genetic algorithm

    遺傳演算法是模擬達爾文的遺傳選擇和自然淘汰的生物進化過程的計算模型，是一種新的全局優化搜索演算法，具有簡單通用、穩定性強、適于并行處理以及高效、實用等顯著特點，在很多領域得到了廣泛應用，另一方面，在圖像處理領域有很多優化問題如圖像壓縮，模式識別，圖像校準，圖像分割，三維重建，圖像檢索等等，實際上都等同於一個大范圍搜索尋優問題，而最優化問題是遺傳演算法經典應用領域，因此遺傳演算法完全勝任在圖像處理中優化方面的計算。
  2. In order to improve measurement precision and display fidelity of the instrument, three new methods of nonlinear calibration of thermal instruments, which are based on intelligent control theory, are presented in this paper, such as nonlinear compensation of zr02 oxygen measurement instrument using bp nn, nonlinear calibration of temperature measurement sensors using cmac nn and nonlinear identification of throttle flow meter using ga. these methods prove to be not only simple but also effective

    火電廠熱工儀表普遍存在非線性特性，為了提高參數測量的準確度和儀表顯示的精確度，基於智能控制理論，文中提出了熱工儀表非線性校正的新方法： bp神經網路補償氧化鋯氧量計非線性特性的方法、 cmac神經網路校正測溫傳感器非線性特性的方法、遺傳演算法辯識節流式流量儀表非線性特性的方法。
  3. So it is appears important to analyse capability of this structure, the people can compute all kinds of complex structure ’ s response under different sorts of exact load on current software, but the source program of the computing question, which is “ black box ”, on the contrary, fepg can get the source program, which can provide preference for the optimization of structure, even embed in the optimizing program and save much time of compiling program, linking to ga to identify the load can get the good result. so the problem is solved to alleviate the deadweight and the optimize design of the structure, as well as improve its secure capability

    對格柵結構進行力學分析就顯得至關重要，盡管利用通用有限元軟體能夠計算結構承受任意可以準確描述的載荷作用下的響應問題，但內部計算卻是「黑箱」操作，利用fepg可以得到計算源代碼，能夠為優化程序提供參考甚至可以嵌入其中，節省繁瑣的有限元計算編程內容，結合遺傳演算法進行載荷重構，往往會收到很好的效果，這就解決了由於工作環境比較復雜，引起響應的載荷難以直接測量得到的難題，從而為結構優化設計和提高安全性能的提供了保障。
  4. Numerical experiments with four test functions are performed, and some valuable conclusions are reached. first, the efficacy of full dominance - recessive diploid genetic algorithm outperforms the standard genetic algorithm ( sga ) in high - dimensional functions. the time complexity of the proposed ga approximates a polynomial multiple of that of sga

    通過對四個常用測試函數用完全顯隱性二倍體遺傳演算法和標準遺傳演算法進行初始解相同的對比試驗，表明完全顯隱性二倍體遺傳演算法在十維以上的高維函數優化問題中解的效果明顯優于標準遺傳演算法，對低維函數優化問題也不劣於標準遺傳演算法。
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