genetic load 中文意思是什麼

genetic load 解釋
遣傳負荷
  • genetic : adj. 1. 遺傳（學）上的。2. 發生的，發展的；創始的。adv. -ically
  • load : n 1 裝載，擔子；負擔；工作（負荷）量。2 （車船等的）裝載量；一馱，一車，一飛機。3 【電、機】（機...
  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. The genetic algorithm with load balance can solve routing problem and can be applied in mobile ip and next hop route. chapter 4 collaborates on routing problem via a designated node. due to the excellent performance in nondeterministic polynomial problem, such as tsp, we choose the genetic algorithm to implement triangle routing in mobile ip protocol

    本文第三章提出了基於矩陣編碼的遺傳演算法的最低費用的下一跳路由，解決浙江大學博士學位論文了下一跳路由中不考慮網路負載和時延可能產生擁塞的問題，優化了網路的性能，使得網路中的帶寬得到合理分配。
  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. Kung, chih - hsien ; devaney, michael j. ; huang, chung - ming and kung, chih - ming, “ power source scheduling and adaptive load management via a genetic algorithm embedded neural network, ” the proceedings of the ieee instrumentation and measurement technology conference, baltimore, maryland, usa, may 1 - 4, 2000

    龔志賢，黃仲銘，龔志銘（民88 ） ， 」類神經網路應用於最佳化電力負載管理之研究」 ，第四屆人工智慧與應用研討會，大葉大學。
  8. 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。
  9. The reactive power optimization compensation is to find the suitable compensation place and the best compensation capacitance by adjusting the generator bus voltages, transform taps and reactive compensation capacities in the condition of satisfying power load requirement, which can guarantee the secure and high quality power for consumers. the improved genetic algorithm is applied in this thesis according to the features of reactive power optimization of high voltage transmission bus, which are the non - linear problems with multi - variables and multi - restrictions

    電網無功優化補償是在有功潮流調度給定的情況下，以負荷節點電壓和線路輸送無功功率作為狀態變量，運用優化演算法，調節發電機節點電壓、變壓器可調分接頭和無功補償裝置，在滿足電力負荷的要求下，尋求合理的無功補償點和最佳補償容量，保證電網能夠安全、優質地向用戶供電。
  10. 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。
  11. 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。
  12. The first chapter quotes three methods for determining the steady - state equivalent circuit parameters of an induction machine. they are the classical locked - rotor and no - load tests, the direct modification method and the recursive least - squares method. then a new parameter estimation method based on genetic algorithms is presented

    緒論首先引述了確定感應電動機穩態模型參數的其他三種方法：傳統的空載和堵轉試驗方法、直接修正參數法和遞推最小二乘法，並由此提出基於遺傳演算法的參數識別技術。
  13. In every load node, load is processed as an equivalent grounding resistant, thus formulating a simple circuit. a refined genetic algorithm combined with the idea of tabu search used in distribution networks reconfiguration to reduce loss is presented in this thesis

    其基本思想是將每一負荷都看作一個迴路，將負荷等效成一接地阻抗，再加上環路，共同形成迴路阻抗矩陣，進而迭代求解網路潮流。
  14. A simulated annealing genetic algorithm for load balancing

    一種應用於負載均衡的模擬退火遺傳演算法
  15. 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。 」
  16. Genetic algorithms - based load smoothness in assembly line

    基於遺傳演算法的裝配線負荷平衡
  17. 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。
  18. This paper focuses on the following research work : 1. proposes a genetic algorithm based on matrix encoding for next hop route with load and time delay ; 2. proposes a genetic algorithm for shortest route via designated node, solves the problem which dijkastra algorithm need two times or more to compute ; 3. proposes a scheme of dividing populations and dividing time in order to improve the success ratio ; 4. proposes a network model for directional motion, performs evaluation for mobile ip based on wlan, and concludes some useful results

    提出了解決移動ip中過指定點的路由的遺傳演算法，解決了dijkstra演算法需要分次計算的問題，通過記錄遺傳演算法的疊代結果還可以給出次優解路由； 3引入了分群和分周期的操作策略，對過指點最短路由的遺傳演算法進行了改進，模擬分析表明使用該遺傳演算法求解過指定點的路由獲得了比inagaki演算法更高的成功率； 4
  19. Thirdly, we study how to use the genetic algorithm solve the multi - objective optimization singlecast qos routing algorithm. the simulation result shows that the method can find singlecast route quickly and effectively. it also shows that the model can provide different service to different rank network data, balance the network load and reduce the network congestion effectively

    第三，研究了如何利用遺傳演算法來求解多目標最優化單播qos路由，模擬實驗驗證了演算法能夠快速有效地找到路徑，並能為不同等級的數據提供不同質量的傳輸服務，有效地提高了網路資源利用率，平衡了網路負載，減少了網路擁塞。
  20. Taking account of the bottleneck - path which results in the congestion of network and analyzing the reason of unbalanced load with the link cost redefined, a genetic algorithm is presented to solve the problem of multicast routing

    摘要針對網路的瓶頸路徑易造成網路擁塞的現象，分析了鏈路負載不平衡的原因，重新給出鏈路代價定義，提出一種遺傳演算法求解該類組播路由問題。
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