計時遺傳學 的英文怎麼說

中文拼音 [jìshíyízhuànxué]
計時遺傳學 英文
chromogenetics
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 時 : shí］Ⅰ名1 （比較長的一段時間）time; times; days:當時at that time; in those days; 古時 ancient tim...
  • 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）...
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 計時 : reckon by time; timing; chronography
  • 遺傳學 : genetics; hereditism遺傳學家 geneticist
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  1. According to the least twin multiplication to calculating the sensitivity index in several water production functions. thus, the writer obtains the fitted the value of the sensitivity index and the varied rule. at the same time, the writer puts forward a new method named rag a ( real coding based accelerating genetic algorithm ) and combines raga with dpsa to calculating the best irrigation system under the non - sufficient irrigation of well irrigation rice in sanjiang plain

    根據《隨機水文學》理論中的時間序列分析法，建立了適合三江平原井灌水稻需水量預報的非平穩時序隨機模型；通過分析降雨隨機特性，選定季節性時序隨機模型，建立了適合三江平原井灌水稻降雨預報的月平均降雨模型；根據最小二乘法，計算出幾種常用水分生產函數中的敏感指數及敏感系數，進而得到三江平原適宜採用的水分生產函數漠型及模型中敏感指數的變化規律；本文提出遺傳動態規劃法（ raga ? dp ） ，即採用改進的基於實數編碼的加速遺傳演算法（ realcodingbasedacceleratinggeneticalgorithm ，簡稱raga ）與動態規劃法（ dpsa ）相結合，推求非充分灌溉條件下三江平原井灌水稻的最優灌溉制度。
  2. It is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems

    在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢，但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重，並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重，而且降低了估算誤差，具有及時應用最新數據學習的能力.此外，該方法易於在直升機設計系統中得到應用
  3. Afterwards, in the second phase, based on the inventory supplement plan in the first phase, this paper transforms the sub - problem in this phase into vehicle routing problem with time window constrains through the theories and methods of vrp, and solves this problem by way of genetic algorithm, to make a final complete inventory supplement and transportation plan

    然後，在第二階段借用車輛路線安排問題（ vrp ）的理論和方法，以第一階段的庫存補充計劃為基礎，將第二階段的子問題規劃成有時間窗約束的車輛路線安排問題，利用混合遺傳演算法求解該問題，從而最終形成完西南交通大學碩士研究生學位論文第11頁一整的庫存補充和運輸計劃。
  4. Based on a mathematical model which conforms to constraints, and has minimum discounted value of the sum investment and loss - cost in whole planning period, a new binary coding genetic algorithm is presented to solve multi - stage planning problem in this thesis. the method is proved to be efficient by test example

    本文分析了多階段電網規劃的思路，基於一個滿足約束條件，並在整個規劃期內所需要的投資費用和運行費用總和的貼現值為最小的數學模型，用遺傳演算法對算例進行了計算，計算中染色體編碼採用了涵括多個時間段的二進制方式，有效地解決了各階段之間的協調問題。
  5. First, the basic theory of the competitiveness is analyzed, evaluating indexes which conclude relative and absolute indexes basic on the last literatures are set up. second, because the data are too many and computing time is too long, the competitiveness of science and technology of 30 areas are clustered using fuzzy clustering model, the areas of the whole nation are clustered several kinds and we can draw some conclusions of same kind. evaluating the competitiveness using single model can produce white noise, so combinational models which concluding neural network, fuzzy theory and genetic algorithm are brought forward to evaluate the competitiveness of areas which are in the same kind with fujian province in the test

    本文首先分析科技競爭力的基本理論，並根據以往研究科技競爭力文獻，建立包含絕對指標和相對指標的評價科技競爭力評價指標體系，其次，針對評價福建省科技競爭力在全國范圍內的排名情況數據較多，計算時間較長的具體情況，利用模糊神經網路模型對全國30個省市自治區科技競爭力水平進行聚類分析，將科技競爭力水平接近的地區聚為一類，得出科技競爭力水平相近地區情況，而後，針對已有文獻科技競爭力評價只是利用單一模型可能產生噪聲，影響評價結果，並且主觀性較強的缺點，本文將神經網路、模糊數學、遺傳演算法等智能演算法組合，利用組合評價模型對福建省和與福建省同在一類的其它地區的科技競爭力水平進行橫向、縱向評價，得出福建省在全國范圍內的科技競爭力水平排名。
  6. ( 4 ) because calculation of stress intensity factors using the finite element method of the linear elastic fracture mechanics cannot satisfy the need for the real - time monitoring and the real - time analysis of cracks in concrete dams, a four - layer neural network optimized by genetic algorithm and chaos optimization algorithm is proposed. the example shows that the optimized neural network can yield good results

    （ 4 ）用斷裂力學有限元計算應力強度因子不能滿足對混凝土壩裂縫實時監測、實時分析中的要求，提出了利用遺傳演算法和混沌優化演算法改進的四層神經網路的解決方法，實例分析表明，本文提出的四層優化神經網路計算的應力強度因子接近於用斷裂力學有限元計算的應力強度因子。
  7. Based on the differences between the design value and the survey of the bridge deck elevation in constructing the pre - stressed long span bridge, the model parameters are identified by the genetic algorithm, and the pre - stress loss values of different sections are given

    建立附加損失的數學模型，根據施工時的預應力張拉后橋面實測標高與設計值的差異，用遺傳演算法識別損失模型的參數，確定有關各截面的損失值。
  8. Abstract : it is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems

    文摘:在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢，但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重，並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重，而且降低了估算誤差，具有及時應用最新數據學習的能力.此外，該方法易於在直升機設計系統中得到應用
  9. A network based approach, called extended petri - nets that represents the design of the supply chain as an abstracted network with " and " and " or " nodes, is presented. based on their substantial disadvantages of linear programming, integer programming, nonlinear programming and genetic algorithm in dealing with a typical supply chain, a constraint based genetic algorithm as part of the extended petri - nets approach is introduced to search for improvements in the design that satisfies the constraints imposed on the system. a prototype testing system is constructed, which is followed by an example together with a description of the small automobile supply chain system implementation

    兩北丁業人學博十學位論義通過對鏈式供需鏈的結構分析，把鏈式供需鏈的設計優化轉化為多階段決策問題，在此基礎上建立了設計優化模型，並提出前向與後向兩種動態規劃求解演算法；鑒于線性規劃、整數規劃、非線牲規劃以及遺傳演算法在解決網狀供需鏈設計優化問題時皆存在著不足，本文對petri網進行了改進，提出了擴展petri網的概念，用於把網狀供需鏈抽象為一個具有「與」和「或」變遷節點的網路，並在前人工作的基礎上，把基於約束的遺傳演算法cbga與擴展petri網結合起來，用
  10. According to current condition of railway coal transport, the paper constructs mathematical model with coal types inter - replaceable and another model with coal types non - inter - replaceable, designs genetic algorithm for the models based on c programming language of genetic algorithm, and finally uses case to verify feasibility of models and algorithm

    摘要根據鐵路運輸中現有煤炭的運輸狀況，構造出煤炭調運時，煤種間不能相互代用和可以相互代用的數學模型，並基於遺傳演算法的c語言程序，對該模型進行了遺傳演算法設計，最後通過算例，驗證了模型和演算法的可行性。
  11. 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。
  12. Based on the analysis of the learning theory and instructionual design, we understand the procedure and regulation of learning, recognizing how to improve the learning environments and instructional procedure, so our its could implement on a better pedagogy theory ; presented in xml, the subject knowledge could be more suitable to be manipulated by computer tutor, to develop an individual learning environments. auto - generating paper is a constrained multi - object optimization problem, this paper presents a way based on genetic algorithm ( ga ) to solve the problem, and discuss how to choose an individual coding to improve the efficiency of ga according the problem ; when establishing the student model, we consider the mental factor as well as the cognitive factor

    基於對學習理論和教學設計的分析、總結，了解了人類學習活動的過程和內在規律，以及如何優化學習環境和教學過程，從而使智能教學系統建立在先進的教育理論基礎上；基於xml技術的學科知識表示，使它更便於計算機導師進行加工，形成個性化的學習環境；自動組卷是一個帶約束的多目標優化問題，本文提出通過遺傳演算法來解決，並分析了如何根據實際問題選擇個性化的編碼方案，提高遺傳演算法的效率；在建立學生模型時，除了考廣西大學碩士論文基於web的智能教學系統的研究慮認知因素還考慮了心理因素。
  13. Based on genetic algorithms, a new scheduling algorithm with multiple process plans and no set up time is proposed, and the algorithm is compared with another scheduling algorithm proposed by nasr and elsayed

    給出了基於遺傳演算法的無輔助加工時間多工藝加工計劃調度演算法，通過與國外學者提出的演算法相比較，證明了該演算法的正確性和優越性。
  14. In this paper, an improved open - ended coaxial - line probe is designed, which is suitable for measuring permittivity of erosion solutions. moreover, a new method to get debye parameters of biological tissue is presented

    本文設計了幾種新型開口同軸探頭，使其適用於測量腐蝕性化學反應溶液的介電常數；同時對遺傳演算法用於反演生物組織介電常數的數值方法進行了探討。
  15. Firstly, as a forward problem is solved for each iteration of ga reconstruction, calculating the electric field for a given distribution permitivity and driving source - this aspect will be treated with more detail. the thesis uses finite element method ( fem ) to solve it, because fem can conveniently handle inhomogeneous dielectric, converge well, and spare computing time by compacting the matrix

    本文首先建立了介電成像的數學模型，採用有限元方法求解正問題，有限元方法的優點在於能方便地處理非均勻介質、具有良好的收斂性、可以壓縮系數矩陣而節省計算時間，這有利於應用遺傳演算法進行優化。
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