遺傳精結構 的英文怎麼說

中文拼音 [yízhuànjīngjiēgòu]
遺傳精結構 英文
genetic fine structure
  • 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）...
  • 精 : Ⅰ形容詞1 （經過提煉或挑選的） refined; picked; choice 2 （完美;最好） perfect; excellent 3 （細）...
  • 結 : 結動詞（長出果實或種子） bear （fruit）; form （seed）
  • 構 : Ⅰ動詞1 （構造; 組合） construct; form; compose 2 （結成） fabricate; make up 3 （建造; 架屋） bui...
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  • 結構 : 1 （各組成部分的搭配形式） structure; composition; construction; formation; constitution; fabric;...
  1. 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
  2. A niched - penalty approach is used to transform this optimal kinematical design problem to an unconstrained one. a kinematic accuracy comparison of the genetic designed fine - tuning stewart platform with the quasi - newtonian designed one is made. the comparison results have shown that the kinematic accuracy of the genetic designed fine - tuning stewart platform has a much higher accuracy and a compact structure than that of the quasi - newtonian designed one, which guarantees the accomplishment of high precision trajectory tracking and reduces the disturbance of wind to the feed - supporting system

    以並聯機器人jacobian矩陣的條件數為優化設計的目標函數，提出了基於遺傳演算法的並聯機器人最優運動學性能結構參數優化設計方法，採用實值遺傳演算法，對精調stewart平臺進行了優化設計，得到了最優運動學的精調stewart平臺結構參數，為實現新一代大射電望遠鏡饋源指向跟蹤系統高精度軌跡跟蹤控制奠定了堅實的基礎。
  3. Taking natural frequency and mode as damage principle, damage detection is studied as optimal problem based on genetic algorithm, and damage indices, symmetry and precision in the damage detection is discussed. numerical simulation of the damage detection of offshore platforms using genetic algorithm proves the feasibility of genetic algorithm in damage detection of large structure ; program all the process of genetic algorithm in damage detection into damage detection system

    以實測的固有頻率和振型為診斷依據，將損傷診斷問題歸結為優化問題，採用遺傳演算法加以研究，以10單元固端梁的損傷診斷為基礎，討論了診斷中出現的損傷指標，損傷對稱性和變量精度等問題；將遺傳演算法的損傷診斷應用於海洋平臺，驗證了遺傳演算法用於大型結構損傷診斷的可能性；並用matlab將遺傳演算法應用於損傷診斷的全過程編製成損傷診斷系統。
  4. Based on the genetic algorithm ' s global searching capability with probability regulation and euclid ' s space distance metric to settle multi - objective, the algorithm that integrates multi - objective ' s decision - making into the modified genetic algorithm to solute the optimal model with discrete variables and multi - objective is proposed. during the algorithm ' s design, the euclid ' s space distance metric is proposed to transform the multi - objective problem into single objective problem. and some modified measure to fitness function and crossover probability and mutation probability are used to improve the performance of the algorithm and avoid premature convergence

    演算法設計過程中，利用歐幾里德空間距離準則和罰函數法，將含有約束條件的多目標規劃問題轉化為無約束的單目標優化問題；針對簡單遺傳演算法出現的早熟，構造隨進化代數動態調整適應度的適應度函數和隨個體適應度自適應調整的交叉、變異概率；提出比例選擇與精英保留策略相結合的選擇、兩點交叉和簡單變異的改進遺傳演算法。
  5. In the laboratory experiment part, human peripheral blood, cultured cells and icr mice were study objects. the changes of mitotic chromosome numbers were measured by human metaphase chromosome counts and statistic analyzed used x2 - test. the changes of meiotic chromosome numbers were measured by mice one - cell zygote chromosome counts and statistic analyzed usedx2 - test. the effects of low dose ionizing radiation on the expression of topoisomerase ii were measured by immunocytochemistry, western blot and rt - pcr

    流行病學結果顯示長期小劑量輻射接觸與染色體不分離呈正相關，為進一步在細胞遺傳學和分子生物學方面研究小劑量電離輻射與染色體不分離關系及其機制，本課題第二部分以外周血、培養細胞、 icr小鼠為研究對象，用外周血染色體計數和單細胞受精卵染色體計數的方法研究小劑量輻射和拓撲異構酶復旦大學2000級博士生學位論文11a抑制劑及其二者的協同效應對有絲分裂和減數分裂染色體不分離的影響，用免疫細胞化學染色、 westernblot 、 rt pcr等方法研究了電離輻射引起拓撲異構酶a表達變化。
  6. 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。
  7. To the question of the low computational efficiency, low computational speed, low stability and unsatisfactory calculation result of the traditional method to get the optimal thresholds, a new multi - dimension thresholding method based on dga ( dissipative genetic algorithm ) that has higher capability and speed of optimization is developed

    模擬結果表明採用耗散結構遺傳演算法進行優化可使圖像處理時間和計算量大大減少，而處理精度並沒有受到影響，且有效避免了遺傳演算法過早陷於局部最優的不足，增強了演算法的穩健性。
  8. Due to its character of microscopic scale motion, a very simple position kinematic equation is achieved. based on the equation obtained, the workspace of the serial - parallel micromanipulator is described, and the effect of different structural parameters on the workspace is also discussed. in order to evaluate the output errors caused by the structural errors and actuator errors, accuracy analysis is then conducted for this serial - parallel micromanipulator, and an approach based on software programming is presented for error compensation

    由於所研究的微操作機器人運動范圍很微小，機構結構誤差及驅動誤差都可能造成機器人的操作精度嚴重降低，為評價這些機構誤差對運動精度的影響，本論文以矢量法對該機器人機構進行了誤差分析，並討論了誤差補償的軟體法；此外，論文還進一步研究了遺傳演算法在並聯機器人機構學研究中的應用，為並聯機器人位置正解問題求解提出一種新思路。
  9. Abstract : genetic algorithm has been used in optimal design of struct ural parameters of elbow bar - type extrusion press to improve smoothness of slid e speed and processing accuracy as well as service life of equipment and dies

    文摘:採用遺傳演算法對拉力肘桿式擠壓機結構參數進行了優化設計，以提高滑塊工作速度的平穩性、增加擠壓機的加工精度以及設備和模具的使用壽命。
  10. Historical city records a great deal historical inheritances and informations, for the tourism development, that have the advantage of the with abundant resources, and they completely reserved some certain period scene or special features. through these, people feel strongly a certain culture characteristic. along with tourism continuously developing, historical city also have become the importance the resources and travel the commercial center

    歷史文化名城記載著歷史的傳承和信息，蘊涵著深邃的文化遺產精華，對于發展旅遊業來說具有得天獨厚的優勢，它們大多比較完整地保留了某一時代或幾個時期的歷史風貌或民族特色，在物質形態上使人感受到強烈的歷史氛圍或民族文化特徵，這些物質形態折射出某一時代或某一地域政治、文化、經濟、軍事等諸多方面的深層結構，表現出很強的歷史特徵、文化傳承和人文理念。
  11. 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
  12. 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。
  13. The optimization design of portal crane luffing system is the result that optimization design apply in engineering design, but because the engineering problem is complicated, the traditional optimization design method is not very successful. in this paper, the optimization of the single boom system with compensating pulley and level - balancing weight is studied. in the math model, the wire rope length encircled in the pulley and reel is considered, that enhance the optimization precision and introduce genetic algorithms, combine engineering tightly, that settle the difficult in the traditional optimization successfully

    門機變幅系統優化設計是將優化設計方法應用於工程設計中的產物，但由於設計工程問題的復雜性，採用傳統的優化設計方法優化的成功率及效果並不理想。本文以單臂架變幅機構導向滑輪補償系統和杠桿? ?活對重臂架自重平衡系統的獨立模型及綜合模型為研究對象，考慮了滑輪和捲筒處包繞的鋼絲繩長度變化，從而提高了優化模型的精度，同時引進一種新型優化演算法? ?遺傳演算法，緊密結合工程實際，較為圓滿的解決優化過程中存在的問題。
  14. The genetic algorithm coding in the real number is engaged to optimize the structure and original parameters of bp neural network, so the network can learn the training patterns more accurately

    該方法採用實數編碼的遺傳演算法優化bp網路的結構及初始參數，從而提高了網路的精度。
  15. In the second is about the ann ' s structure, one genetic arithmetic ( ga ) is used to chose the most logical number of connotative layer, so it can void the blindness of chose the number of connotative layer. because based on more logical net structure, the precision of forecasting is improved

    第二部分研究神經網路的結構問題，利用遺傳演算法對網路的隱含層個數進行尋優，從而避免了隱含層選擇的盲目性，使得預測在更加合理的網路結構上進行，提高了預測的精度。
  16. Three numerical simulations have showed that the gabp has a better stability, precision and robustness than the traditional bp neural network, and is the reliable and accurate methods in structural damage detection

    對比遺傳bp網路與傳統bp網路對三個模擬算例的識別結果，遺傳bp網路的穩定性更好，精度更高，對噪聲有很強的魯棒性，是一種準確有效的結構破損診斷方法。
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