遺傳負荷 的英文怎麼說

中文拼音 [yízhuànfùhé]
遺傳負荷 英文
genetic load
  • 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）...
  • 負 : Ⅰ名詞1 （負擔） burden; load 2 （虧損） loss 3 （失敗） defeat Ⅱ動詞1 [書面語] （背） carry on th...
  • 荷 : 荷名詞（蓮） lotus
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  • 負荷 : [電學] load; charge; weight
  1. Most plants carry a large "genetic load" for deleterious recessive genes of which a few are homozygous and depress growth.

    多數植物帶有大量有害的隱性基因的「遺傳負荷」，其中少數是純合的，因而降低了生長。
  2. E. tva load model structure, which is more adaptive to the measurement - based load modeling. based on the presented model, the dissertation further researches and applies the least square algorithm in classic system identification theory as well as the simplex method and the genetic algorithm in modern system identification theory to identify the load model

    在廣泛研究現有典型負荷模型結構的基礎上，論文提出了適用於量測建模的時變適應的負荷模型（ tva負荷模型） ；進而研究並綜合應用傳統辨識理論中的最小二乘辨識法和現代辨識理論中的單純形法、遺傳演算法進行負荷模型辨識。
  3. Taking load uncertainties, infeasibility problem and multiple objection of the reactive power optimization in the radial distribution system into consideration, loads are modeled as fuzzy interval numbers. fuzzy power flow is proposed based on fuzzy interval load for the more practical membership function of line losses rate and maximal voltages offset. this thesis presents multiple objection model of the reactive power optimization considering uncertainties using the fuzzy set theory

    對配電網電壓無功優化問題中負荷的非概率性的不確定性問題、多目標問題、約束不可行性問題進行了研究，用模糊區間來描述實際的負荷情況，並用負荷的模糊區間值計算配電網的潮流，得到有功功率損耗和電壓的模糊區間值，使網損率和節點電壓最大偏移量的隸屬函數更接近實際情況；將改進遺傳演算法與模糊集理論相結合，通過求解多目標函數和約束條件的模糊集合的交集，得出網損率和節點電壓最大偏移量最小的最優運行狀態。
  4. Wild populations of trees usually carry a large "genetic load".

    樹木的野生群體往往具有大量的「遺傳負荷。」
  5. Most plants carry a large " genetic load " for deleterious recessive genes of which a few are homozygous and depress growth

    多數植物帶有大量有害的隱性基因的「遺傳負荷」 ，其中少數是純合的，因而降低了生長。
  6. Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given

    本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。
  7. After a short - term load forecasting method based analogous and linear extrapolation is proposed, the load forecast and the priority of equipment action are led into static reactive power optimization. the aim function is constructed for the practical situation of power system. on the basis of traditional genetic algorithm the fitness function and the holding of population diversity are improved

    在提出基於相似日和線性外推的短期負荷預測新方法的基礎上，將負荷預測和設備動作優先級引入靜態無功優化中，並結合電網實際情況，構造了實用的目標函數，對遺傳演算法的適應度函數和群體多樣性的保持進行了改進，採用鄰域搜索運算元增加遺傳演算法的局部尋優能力。
  8. In this method, ga is used to optimize connection weights of forward - back neural network until the learning error has tended to stability, then we use sp algorithm with optimized weights to finish short - term load forecasting process

    我們用遺傳演算法來訓練網路參數，直到誤差趨於一穩定值，然後用優化的權值進行bp演算法，實現短期負荷預測，模擬實驗結果表明該方法加快網路學習速度，並能提高負荷預測精度。
  9. 1 the forecast model of the load of the heating system was put forward, parmeter of the model was recognized in genetic algorithm. on the basis of the result, the temperature of water supply was calculated and become target aim of burning system

    針對集中供熱系統的特點，設計了整個系統的運行控制方案。 1建立了供熱負荷預測模型，採用遺傳演算法對模型的參數辨識，並以此來計算當天的供熱溫度，指導鍋爐的自動控制。
  10. We propose a combined slf method to extrapolate feeder load growth by using feeder ' s history peak value and the merits of gray theory and genetic programming ( gp ). at first, we adopt load transfer coupling method to correct load history and its error for load transfer. secondly, we get the real power - supply area by using layer overlap analysis, based on practical feeder path and distribution gis map layer

    將gis的空間信息分析功能應用於配網空間負荷預測的研究：綜合利用灰色理論及遺傳規劃（ geneticprogramming ， gp ）的優點，提出了一種根據饋線的歷史峰值負荷進行外推的組合slf法：首先採用負荷耦合回歸法來修正負荷歷史，消除由於負荷轉移引起的誤差；然後根據實際饋線路徑和配網gis圖形分層，運用圖層疊加分析得到饋線的實際供電范圍；接著採用灰色關聯度聚類方法對饋線負荷增長曲線進行聚類分析；最後採用gp來對灰色聚類結果進行符號回歸，分別得到每一類曲線的最佳擬合曲線形式。
  11. Wild populations of trees usually carry a large " genetic load "

    樹木的野生群體往往具有大量的「遺傳負荷。 」
  12. The work of author is shown as follows : ( 1 ) the author analyzes and summarizes merits and demerits of different algorithms by the numbers and puts forward the assumption of applying genetic algorithm to solve unit commitment

    主要工作體現如下： （ 1 ）系統地分析和總結了各種機組組合和負荷經濟分配演算法的優點和不足，在此基礎上提出應用遺傳演算法求解系統優化問題。
  13. Genetic algorithms - based load smoothness in assembly line

    基於遺傳演算法的裝配線負荷平衡
  14. Based on the idea of machine ' s load balance, the balance genetic algorithm ( bga ) for amsf is presented

    基於機床負荷平衡的思想，提出了面向先進製造車間的平衡遺傳演算法，並與傳統的遺傳調度演算法進行了對比。
  15. The distribution gis data management methods and its application in distribution running are systematically researched, which compose distribution gis network topology analysis ( nta ) and optimal rush - maintain path ( orp ), and distribution planning, which composes distribution spatial load forecasting ( slf ) : ( 1 ) with systematic analysis on the relationship between spatial data model and spatial data structure, the distribution feature and the two common gis data models are analyzed, which are vector and raster data models. then the conceptual and logic data models of distribution gis are designed. the spatial data storage structure is given by using vector method, and their detailed data management methods are proposed

    （ 4 ）將gis的空間信息分析功能應用於配網空間負荷預測（ saptialloadforecasting ， slf ）的研究：綜合利用灰色理論及遺傳規劃的優點，提出了一種根據饋線的歷史峰值負荷進行外推的組合slf法：首先採用負荷轉移耦合法來修正負荷歷史，消除由於負荷轉移引起的誤差；然後根據實際饋線路徑和配網gis圖形分層，運用圖層疊加分析得到饋線的實際供電范圍；接著採用灰色關聯度聚類方法對饋線負荷增長曲線進行聚類分析；最後採用遺傳規劃來對灰色聚類結果進行符號回歸，分別得到每一類曲線的最佳擬合曲線形式。
  16. With the precondition that neural network model can accurately reflect the operation situation of the systems, the paper discusses how to effectively integrate the neural network and genetic algorithm, by utilizing the comprehensive searching ability, to minimize the energy consumption of the system under a specific load. the controlling state parameters of the system and the calculation results indicate the optimization result of a steady state is satisfactory

    在神經網路模型能準確的反應系統運用工況的前提下，本文討論了如何將神經網路與遺傳演算法有效的結合起來，利用遺傳演算法的全局搜索能力，尋找在特定負荷下為使系統的能耗最小，系統中各控制參數的狀態，計算表明系統穩態優化結果令人滿意。
  17. A synthetically improved genetic algorithm in power load modeling

    負荷建模參數辨識中綜合改進遺傳演算法的應用
  18. Children predisposed by genetics or enironment to be more anxious than their peers are also more likely to deelop ptsd in response to emotional trauma, perhaps because their responses to other life experiences simply left them closer to that threshold than less - anxious children

    那些對遺傳或環境敏感易焦慮的孩子通常在面對情感創傷也更容易發展為創傷后情感障礙，這可能是因為與較少焦慮的孩子相比，他們對其它生活經歷的反應使得應激負荷更接近於閾值。
  19. Compared with the traditional master - slave parallel genetic algorithms, the presented algorithm can efficiently solve the problem of unbalanced distribution of computational load among the slave computers by dynamically adjusting computational load of the slave computers

    相對于常規主從式并行遺傳演算法，該演算法通過動態調整從機的計算負荷，有效地解決了從機間計算負荷不均衡分佈的問題。
  20. A refined genetic algorithm to optimize of the unit commitment

    機組負荷最優分配的改進遺傳演算法
分享友人
分享到 Line

分享到臉書