集的遺傳系 的英文怎麼說

中文拼音 [jídeyízhuànxì]
集的遺傳系 英文
hereditary system of sets
  • 集 : gatherassemblecollect
  • 的 : 4次方是 The fourth power of 2 is direction
  • 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）...
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  1. The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation. it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design. the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence, the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample, it assures the sample approach to the pareto optimal solution set in fast convergent speed

    較好地解決多阻尼比反應譜擬合問題；本文方法通過一次運行就能獲得一組具有集系特性的地震動，在擬合多阻尼比反應譜的人造地震波集系的模擬方面有傳統方法所不能比擬的優勢，產生的人造波或人造波集系可滿足工程抗震設計需要；在遺傳演算法中，交叉概率和變異概率是影響收斂速度的重要參數，本文採用的改進自適應交叉概率和變異概率，可以根據當前樣本的好壞程度來自動地選擇適當的交叉概率和變異概率，以保證演算法始終以較好的速度向pareto最優解集逼近。
  2. Application of the algorithm for different observed head data sets indicate that the model can be successfully applied for aquifer systems where data available may be sparse and with errors. calculated groundwater heads by identification results in fourteen parameter areas are fit for observed heads in field, and flowing filed is similar. the study demonstrates the effectiveness of the ga global optimization model for parameter identification, which is an important step towards real system simulation and effective planning and management of groundwater resources

    通過算例研究，表明上述演算法可行，且rbf神經網路方法和退火遺傳演算法對地下水系統參數的識別效果都較好，而退火遺傳演算法較之標準的遺傳演算法具有更好的收斂性將演算法應用到北京市密懷順地區，在收集、分析研究區資料基礎上，建立了北京市密懷順平原區地下水模擬模型，並用遺傳演算法進行了地下水系統參數識別，在十四個分區情況下，計算水位與實際水位擬合的較好，各應力期末的計算與實測等水位線基本一致，表明該識別值較為合理。
  3. Finally, jinduicheng mo. company open - pit is quoted as an instance for building mine transportation vechile scheduling system model, and according to the model, adopt genetic algorithm to study the optimization of mine transportation vechile scheduling system. a rational project is given to this problem, the paper also analysized the optimial design of mine transortation vechile scheduling, the model offering in this paper, convergence of optimal algorithm and data bank management, and transportation project of minerals and disposals is optimized, which realize the decision of transportation project and data visibilization, and wich improves the science and information process of transportation department management

    最後，論文以金堆城鉬業公司露天礦為例建立礦山運輸車輛優化調度模型，結合所建立的礦山車輛優化調度模型，採用遺傳演算法對礦山運輸車輛系統進行優化研究，為其提供合理的體系方案。並對礦山車輛優化調度系統設計進行了詳細分析，提出的礦山車輛優化調度系統，集優化演算法與數據庫管理分析於一體，進行礦巖運輸方案的優化，實現調度方案決策的可視化、運行數據的可視化，促進運輸部門管理的科學化、信息化進程。
  4. These achievements will enrich the relationship between pair - network and network, and further understand the internal connection between hereditarily closure - preserving families and point countable families or locally finite families, and better certain topological non - variability of the space with pair - networks, and enrich the theory of generalized metric space. this paper reached some principal conclusions about the space with - hereditarily closure - preserving pair - networks

    弱遺傳閉包保持雙網路空間的類似結構，這些結果將更加充實雙網路與網路之間的關系，進一步明確遺傳閉包保持集族與點可數集族或局部有限集族之間的內在聯系，完善由雙網路確定的空間關于拓撲運算下的某種不變性，豐富了廣義度量空間理論
  5. Using the concept of heredity knowledge and its heredity coefficient of s - rough sets, it gives the concept of variation coefficient of knowledge, presents the theorem of attribute dependence of variation coefficient and the relation theorem of heredity - variation, and puts forward the heredity mining of knowledge and its algorithm in conclusion

    摘要利用s -粗集中的遺傳知識及其遺傳系數的概念，給出了知識的變異系數的概念；提出了變異系數屬性依賴定理、遺傳變異關系定理；並給出了知識的遺傳挖掘及其演算法。
  6. Ab : the apparent clustering of human cases of influenza a ( h5n1 ) among blood relatives has been considered as evidence of genetic variation in susceptibility

    中文摘要：在具有血緣關系的家庭中發生h5n1家庭聚集性病例，被認為是存在遺傳易感性的證據。
  7. About eighty percent of common human disorders belong to complex trait. complex diseases are often caused by the interaction of many loci and environmental effects, and exhibit a strong familial component and population genetic heterogeneity. a simple relationship between the observable phenotypes and the underlying genetic effects does not exist

    人類多數（ 80 % ）疾病屬于復雜疾病，復雜疾病一般是由多個遺傳基因及環境因素共同交互作用而發生發展的，並且往往具有家族聚集傾向性、遺傳異質性等特徵，表型與基因型間沒有簡單對應關系。
  8. 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。
  9. First, we trained neural network by using different methods to deal with different data, to elevate the ability of detecting small intrusion and prevent neural network degeneration during training ; then, the improved genetic algorithm was used to optimize neural network ensemble weight

    首先通過有區別地對待不同的訓練數據訓練神經網路，提高對小類別入侵的檢測能力並防止網路訓練中的退化現象；然後利用一種新的改進遺傳演算法優化集成網路的權，提高系統整體性能。
  10. Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly

    本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。
  11. In order to avoid matching the fault symptoms with the identification conditions artificially, ( fuzzy ) neural network was designed for diagnosis according to the optimal decision system. for the continuous quantitative diagnosis data such as the measurement, and the result of signal processing, a new hybrid system of self - organizing map ( som ) / fuzzy c - means ( fcm ), rough sets theory, and adaptive neuro - fuzzy inference system ( anfis ) was presented. firstly, the continuous attributes in diagnosis decision system were discretized with som or fcm

    對于連續的定量故障診斷數據（監測數據） ，以4135柴油機為例，提出了自組織映射（ som ）模糊c -均值（ fcm ） ?粗糙集?自適應模糊神經網路推理系統（ anfis ）集成的具體故障診斷實施方案：首先，應用som或fcm離散故障診斷數據中的連續屬性值；然後，基於粗糙集理論應用遺傳演算法計算診斷決策系統的約簡，按照實際需要確定診斷條件；最後，根據系統約簡設計anfis進行故障診斷。
  12. Aiming at the limitation of basic evolution strategies, a kind of growth mechanism - based evolution strategies and its realization are introduced. chapter three presents the evolution strategies - based optimizing of seaport container logistics system, firstly the structure of chromosome is introduced, then a kind of hybrid mutation operation is used, the detail process of the optimizing method is also described, finally the traveling sequence optimization of the containers is introduced as an example to testify the feasibility of the new optimizing method

    在以往的港口物流系統規劃研究中，遺傳演算法和模擬退火法是經常採用的數學方法，第三章首次研究了基於生物進化策略的港口集裝箱物流系統優化方法，提出了一種基於混合變異的自然數編碼進化策略演算法和染色體的構造模式，並以集裝箱運送順序優化問題為例，實現了基於生物進化策略的港口集裝箱物流子系統的優化。
  13. That is, if only one parent is affected, the condition will show up in each successive generation

    遺傳缺陷可能會出現在任何犬種和犬只集體內的任何系統上。
  14. Topological optimization of oil - gas gathering and transforming system with hybrid algorithm

    油氣集輸系統拓撲布局優化的混合遺傳演算法
  15. In this thesis, a system planning of assembly sequence planning module in virtual assembly system is proposed which is based on analyzing the characteristic of airfoil assembly and assembly design. the core techniques of assembly sequence planning which based on genetic algorithm and fuzzy set theory are investigated in detail. main research work and achievements are as follows : 1

    本文在分析飛機機翼裝配特點的基礎上，完成了虛擬裝配系統中裝配順序規劃模塊的設計與實現，並對基於遺傳演算法及模糊集理論的裝配序列規劃技術進行了深入研究，主要研究內容包括： 1
  16. In chapter 2, by defining some concepts, such as constraint unit, constraint aggregate, constraint relation, constraint method, constraint chain, constraint degree and associate constraint sub _ aggregate etc. the basic constraint factors that affect the complex pipeline system packing are fully analyzed in the first. in the following, a mathematical modelling method used for complex pipeline system " optimization packing design is brought forth based on the optimization target decomposing, then a mode of generalized proposal field of the complex pipeline system packing design is constructed. finally, a variant genetic algorithm for the solution of the mode mentioned above is derived

    第二章，通過定義約束元、約束集、約束關系、約束方法、約束鏈、約束度、關聯約束子集等概念，對影響復雜管線系統規劃布置的基本約束因素進行了較為全面、系統的分析；探討了基於目標分解的復雜管線系統優化布置問題的數學描述方法，建立了面向復雜管線系統布置的廣義布置方案場模型，並在此基礎上設計了求解該模型的變異遺傳演算法。
  17. Then it reviews the research results of the distribution management globally and analyses the questions and research state of the distribution management information system, the distribution planning investment project, the distribution network reconfiguration, the same trade comparing of the distribution. however, due to the wide - range, fuzziness and risk character of the distribution management, based on fuzzy set and genetic algorithm theory, the major contents and research results are as follows : 1. the multi - object group decision integration model research and application based on fuzzy set theory

    本文介紹了我國配電管理所面臨的電力企業改革和用電環境的變化，回顧了國內外在配電管理系統方面取得的研究成果，具體分析了配電管理信息系統，配電規劃投資方案，配電網路重構，配電同業比較存在問題和研究現狀，針對配電管理的模糊性，風險性和全局性，採用模糊集分析和遺傳演算法理論，提出了本文的研究內容。
  18. The paper changes the discretization problems to exploring the best cutting points based on genetic algorithms for discretizing the set of continuous attributes according to the basic concepts of rough set theory, then removing the redundant cuts and producing small discretizations which maintain the required capability of classification

    本文將離散化問題轉化為分割點的尋優問題，綜合考慮多個屬性之間的依賴關系，利用遺傳演算法尋找給定區間數的最優分割點，利用粗糙集理論的基本分類思想，刪除冗餘分割點。
  19. The solutions of examples demonstrated that the optimized synthesis problems of complex distillation system could be solved rapidly with the improved algorithm, and the optimal configurations of thermally coupled ( linked ) side columns, fully thermal coupling column ( petlyuk column ) as well as heat integration between the different columns could be searched automatically

    實例計算表明，基於遺傳規劃的綜合策略可以用於求解復雜精餾系統的最優綜合問題，實現了包括側線塔、完全熱偶塔及同時考慮熱集成的各種復雜精餾結構的自動搜索尋優。
  20. What is more, based on the computing model of the finishing time per piece of flow shop scheduling in the parallel movement, the paper analyzes the subordinate function of its finishing time per piece in respective conditions of definite due date and fuzzy due date, and mutual relationship of two objective functions between minimization of delayed term and maximization of general satisfaction, pointing that the former is the subset of the latter. and representing the satisfaction level of the manager toward finishing time of the piece with the subordinate function of fuzzy due date, making general satisfaction level as objective function, the paper accordingly sets up a mathematical model in the condition of fuzzy due date, and designs a computer simulating system in light of genetic algorithm to carry on an emulation experiment

    在平行順序移動方式下flowshop調度問題的工件完工時間的計算模型基礎上，分析了帶固定交貨期和模糊交貨期時該問題的工件完工時間的隸屬函數，及總拖期最小化和總滿意度最大化這兩個目標函數的相互關系，指出前者西南交通大學博士研究生學位論文第頁問題是後者問題的一個子集，用每個工件模糊交貨期的隸屬函數表示決策者對該工件完工時間的滿意度，以總滿意度為目標函數，相應地建立了該問題下帶模糊交貨期的數學模型，設計了一個基於遺傳演算法的計算機模擬系統進行模擬試驗，結果是令人滿意的。
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