遺傳決定論 的英文怎麼說

中文拼音 [yízhuànjuédìnglún]
遺傳決定論 英文
determinism of heredity
  • 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）...
  • 決 : Ⅰ動詞1 （作出主張; 決定） decide; determine 2 （執行死刑; 殺死） execute a person 3 （裂開; 斷開...
  • 定 : Ⅰ形容詞1 （平靜; 穩定） calm; stable 2 （已經確定的; 不改變的） fixed; settled; established Ⅱ動詞...
  • 論 : 論名詞（記錄孔子及其門徒的言行的「論語」） the analects of confucius
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  1. Abstract : a new algorithm applied to the fixed channel assignment in the cellular pattern is proposed. it is based on the theory of evolutionary algorithm. it uses the concept of multiple reuse plan ( mrp ) and solve the problem of large scale through blocking algorithm, and it is a fast 、 efficient and parallel searching method. it has been used in frequency plan system of beijing university of posts and telecommunications. it has been used in several plan project for some city, and been adopted because of its good performance

    文摘:提出了一種新的用於蜂窩移動通信中小區規劃的固定頻率分配演算法.它基於遺傳演算法的基本理論，運用多層頻率復用的概念和分塊演算法解決了大規模區域的頻率規劃問題，是一種快速、高效的并行式搜索的頻率分配演算法.該演算法已用於北京郵電大學的頻率規劃軟體系統中，並用它為幾個市區作過規劃，效果滿足要求，且已被采納
  2. 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。
  3. The simulation results indicate the capability of genetic algorithm in fast and steady learning of neural networks, guaranteeing a global convergence and overcoming some shortcomings of traditional error back propagation algorithms, meanwhile prove that this neural networks adaptive control structure is effective to many control problems and it is easy for us to programme and employ the method in the practical system

    模擬結果表明遺傳演算法能夠快速穩定地學習神經網路，保證全局收斂西安理工大學碩士學位論文並且能夠克服傳統誤差反傳演算法的一些缺點，也證明了這種神經網路自適應控制結構可以有效解決系統中存在的控制難題，同時編程容易，便於在實際系統中應用。
  4. The paper is organized as follows : the first section describes the traditional path selection methods, shows all kind of constrained factors in planning traffic networks. the model and definition is described in the second section, and also provides general methods for path selection problems. in section 4, 5, 6, two methods for solving this kind problem is designed and algorithm is carried out

    本文組織如下，第一章對目前選擇線路的方法進行了概述，並對選線涉及的因素進行了分析；第二章給出了要解決問題的數學模型和定義，簡述了無約束條件下解決問題的方法，介紹了遺武漢理工大學工程碩士學位論文傳演算法的基本思想；第三章和第四章提出了解決兩個約束條件問題的解決方法，即啟發式演算法和遺傳演算法，並實現了本文提出的兩種演算法；第五章使用遺傳演算法對多個約束條件的選線問題進行了研究。
  5. 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。
  6. This thesis is focused on the following flve topics. first, comparative analysis of binary encoding and float encoding is made, the advantage and disadvantages of two encoding modes and their influence on genetic operators are clarified, thus the basis for reasonable description of the problems is provided. secondly, as genetic operators have an important influence on performance of algorithms, this thesis demonstrates that the simulated binary crossover can keep the mean of population unchanged, and under some conditions

    作者在論文期間的工作主要集中在以下幾個方面：對遺傳演算法中的二進制編碼和浮點數編碼進行對比分析，闡明兩種編碼方法的優缺點和對遺傳操作運算元的影響，為合理地描述待解決的問題提供一定的依據；遺傳操作運算元對演算法的性能有重大的影響，文中對模擬二進制交叉運算元對群體的分佈影響進行了分析論證，得出模擬二進制交叉能保持群體的均值，並在滿足一定條件下使群體方差變大的結論；如何保持群體的多樣性，一直是進化演算法研究的主要內容。
  7. The major tasks include : ( 1 ) expand the schema theorem for ga. the schema theorem with binary coding advanced by professor holland is expanded to limited integer, letter, floating point numbers the number of which value is limited, and their hybrid coding. ( 2 ) put forward replacing by the excellent chromosome ga ( recga ), superiority colony first ga ( scfga ) and improve the ga ; ( 3 ) make probability convergence analysis of recga using the theory of markov chain, random process ; ( 4 ) make convergence analysis of scfga using the principle of contractive mapping in functional analysis theory ; ( 5 ) design the test programs ( cap ) to resolve np problems ( course arrangement ) with gas ; based on recga, modify the arithmetic and then conduct tests

    主要有以下幾方面工作： （ 1 ）將二進制編碼遺傳演算法的模式定理擴展到由有限整數、字母或取值個數有限的浮點數編碼，或它們混合編碼的遺傳演算法范圍； （ 2 ）提出最佳個體替換策略遺傳演算法（ recga ） 、優勢群體優先策略遺傳演算法（ scfga ） ，對遺傳演算法進行改進； （ 3 ）使用隨機過程理論markov鏈對recga進行了收斂性分析； （ 4 ）使用泛函分析理論壓縮映射原理對scfga進行了收斂性分析； （ 5 ）使用遺傳演算法設計了解決np類問題（排課問題）的測試程序（ cap ） ，並根據recga對演算法進行改進並進行測試。
  8. At the same time, the recognition of parallel activities and series activities and coupling activities in the software process can be solved by graph theory knowledge ; the evaluation of the staff ' s capacity can be solved by fuzzy synthetic evaluation theory. these techniques make foundation for putting forward detail genetic algorithm

    另外，本文採用圖論的方法來解決軟體過程中串列、并行以及交叉耦合活動的判定與規劃問題；提出模糊綜合評價方法對人員（人力資源）的能力進行評估，為遺傳演算法的應用打下了基礎，提高了演算法的準確性。
  9. Although the technology of vibration diagnosis has acquired some achievement, on the occasion of having several faults, the method has some trouble that cannot be solved. to solve this problem, some methods i. e. rough - set theory and genetic algorithm have to be used to identify specific fault and decide which pump valve has fault

    這種振動診斷技術雖然取得了一定的成果，但是在多個泵閥同時發生故障的場合，這種方法遇到了無法解決的難題，使之不得不求助於粗集理論、遺傳演算法等數據處理方法來分辯故障類型和判斷故障具體發生在哪一個泵閥上。
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