斂足 的英文怎麼說

中文拼音 [liǎnzú]
斂足 英文
withdraw one's footstep
  • 斂 : Ⅰ動詞1 （收起; 收住） hold back; keep back 2 （約束） restrain 3 （收集; 徵收） gather; collect; ...
  • 足 : Ⅰ名詞1 （腳; 腿） foot; leg 2 （姓氏） a surname Ⅱ形容詞（充足; 足夠） sufficient; ample; enough;...
  1. Abstract : based on a numbers piled up for varies resources ( labor, materials, mechines ) in neuron plan, a composed distribution for various resources was obtained. then, using time difference and quantities of materials, the best selected work and time started as astrictive conditions, the best optimum distribution which satisfied variou resources in difference optimodel and astrictive conditions was got

    文摘:將多種資源（人工、材料、機械）的數量同時在神經網路計劃技術上實行數字化疊加，從而獲得多資源疊加的合成分佈，再利用神經網路計劃技術中各個工作的不同時差和資源數量，按收斂條件選擇最佳開工工作和開工時間，滿足多種資源在優化模式中按收斂條件進行最優分佈
  2. 3. developed simply and practical fluid network algorithm for large - scale of pipe networks, such as air - gas system and powder manufacture system. iterative computation used in this algorithm is not only astringing quickly and numerical calculating steadily but also cater the required ratio of precision and guarantee the real - time and any performance simulation of fluid network

    3 、本文對風煙系統和制粉系統等大型管網，建立了簡單實用的流體網路模型演算法，此法在迭代計算中，不僅可以快速收斂和數值計算穩定，而且滿足一定的模擬精度，較好的保證了流體網路的全工況實時模擬。
  3. Levenberg - marquart optimized algorithm was used to learn the network, and its constringency is rapid

    網路的學習演算法採用levenberg - marquart優化演算法（簡稱l - m演算法） ，收斂速度快，能滿足實時性要求。
  4. We will say that a finite-difference method is convergent if this condition is satisfied.

    若滿足了這個條件，我們就說有限差分法是收斂的。
  5. 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。
  6. Secondly, after analyzing the strategic relations between the manufacturer and the supplier, the dissertation brings forward that the manufacturer must category the materials and select different supplier to built relations, explains the features and the advantages and disadvantages of strategic partnerships, and bring forward that the manufacturer must give some special request for the supplier strategic partner. thirdly, the dissertation analyses and summarize the existing methods of supplier selection, and point out their disadvantages. then, the dissertation apply the extenics to the dynamic selection model of the strategic supplier, building the evaluation indexes with implication systems, selecting strategic supplier with rhombus thinking method, looking for the suppliers with the extension of the matter - element, selecting the right supplier with the extension evaluating methods, replacing the dissatisfying features with the transformation matter - element method and making it more better

    本文首先對供應鏈管理和戰略合作夥伴關系的國內外研究現狀和發展趨勢進行了研究；其次，對製造商和供應商的戰略合作夥伴關系進行分析，指出了製造商需要對采購物料分類，針對戰略型物料選擇戰略合作夥伴建立戰略合作夥伴關系，闡明了建立戰略合作夥伴關系的特徵及優缺點，並提出了製造商對供應商戰略合作夥伴的具體要求；再次，對目前存在的供應商選擇方法進行了深入的分析和總結，指出了不足之處，並提出了應用可拓理論進行供應商戰略合作夥伴選擇的思路；然後，應用可拓理論建立供應商戰略合作夥伴選擇動態模型，其中，用蘊含系方法建立評價指標體系，用菱形思維建立選擇模型，利用物元的可擴性來尋找待評供應商，用可拓評價進行收斂，並用物元變換對已經選中供應商的不滿意特徵進行變換，使其完善；最後對r企業的供應商戰略合作夥伴選擇進行了本文模型的實證部分，使模型不僅具有理論意義，更具有實踐意義。
  7. A chaos optimum and neural network calculation model was built based on plenty of testing data of concrete intensity to cover the shortage of single bp neural network, such as slow astringency and easy torpidity

    摘要依據混凝土標準試塊強度檢測數據，建立了混沌優化的神經網路計算模型，從而克服傳統bp網路收斂速度慢、易出現麻痹現象等不足。
  8. Traditional power control algorithin is to use a convergent iteration fimtion to set up a mathematical model. when such method is used to control the power of user, we should find the optimum solution vector of the convergent iteration funhon by iteration transform

    在傳統的功率控制演算法，通常採用某個迭代關系式為其建立某一的數學模型，該迭代關系式應滿足收斂特性。
  9. Bloom there for a languor he had but was now better, he having dreamed tonight a strange fancy of his dame mrs moll with red slippers on in pair of turkey trunks which is thought by those in ken to be for a change and mistress purefoy there, that got in through pleading her belly, and now on the stools, poor body, two days past her term, the midwives sore put to it and can t deliver, she queasy for a bowl of riceslop that is a shrewd drier up of the insides and her breath very heavy more than good and should be a bullyboy from the knocks they say, but god give her soon issue

    今晚彼曾做一奇夢：其妻摩莉足登紅拖鞋，身著土耳其式緊身褲，博聞多識者謂此乃進入一個新階段之徵兆。普里福伊太太系住院待產婦109 ，惜預產期已過二日，仍臥于產褥上，助產士焦急萬分，不見分娩。灌以可充作上好收斂劑之米湯一碗，亦嘔吐之，且呼吸無比困難。
  10. Because ga possesses the traits of can global random search, the robustness is strong, been use briefly and broadly, it didn ’ t use path search, and use probability search, didn ’ t care inherence rule of problem itself, can search the global optimum points effectively and rapidly in great vector space of complicated, many peak values, cannot differentiable. so it can offset the shortages of nn study algorithm, can reduce the possibility that the minimum value get into local greatly, the speed of convergence can improve, interpolation time shorten greatly, the quantity of training reduce

    因為遺傳演算法具有全局隨機搜索能力，魯棒性強、使用簡單和廣泛的特點，它不採用路徑搜索，而採用概率搜索，不用關心問題本身的內在規律，能夠在復雜的、多峰值的、不可微的大矢量空間中迅速有效地尋找到全局最優解，所以可以彌補神經網路學習演算法的不足，使陷入局部最小值的可能性大大減少，使得收斂速度提高，訓練量減小。
  11. Based on the single genetic algorithms and the features of the distribution network reconfiguration, this dissertation makes a further study on such aspects as selection operator, crossover operator, mutation operator, termination conditions and etc, thus, puts forward improved genetic algorithms. the dissertation makes certain study on the optimization reconfiguration model of distribution network. it puts forward a multi - objective model and according to the theory of variable weight coefficients transforms the multi - objective problem into a single - objective one

    針對目前遺傳演算法在配電網路重構應用中的不足，論文著重從選擇運算元、交叉運算元、變異運算元和收斂準則等方面進行了改進，把最優保存策略和兩兩競爭相結合的方法作為新的選擇運算元，採用隨最優個體相對保留代數自適應變化的交叉和變異運算元，把最優個體最少保留代數作為演算法的終止條件。
  12. 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。
  13. Their learning and training rules have been analyzed profoundly and their abilities to approximate arbitrary nonlinear function have been testified and compared by the simulation. a new rbf neural network has been presented which uses a raised - cosine function as activation transfer function. it provides a wider generalization in comparison with gaussian rbf neural networks by simulation as well as strong approximation ability, fast convergence, a rule to select the parameters of the networks

    本文詳細研究了兩種典型的前向神經網路（ bp網路和rbf網路）的學習和訓練演算法，提出了一種新穎的基於緊支集餘弦函數的徑向基神經網路，其克服了常用的高斯型rbf神經網路雖具有緊支集但各基函數非正交的不足，其收斂速度快、網路參數選取有理論依據且相比于高斯型rbf神經網路具有更強的泛化能力，模擬驗證了其有效性。
  14. Fan and yuan [ 6 ] uses another method that has proved under the local error bound condition, if we choice the parameter as the norm of the function, the sequence produced by the levenberg - marquardt method converges quadraticlly to a solution of the system of the equations

    如此選取參數有一些不足之處。范、袁在[ 6 ]中用另一種方法證明了當迭代參數為當前迭代點處函數值的模時， levenberg - marquardt方法具有二階收斂性。
  15. In order to enhance the applying efficiency of cl, the cause of premature convergence in binary - coded genetic algorithms ( gas ) is analyzed in this dissertation. the drawback of conventional mutation operator in preventing premature convergence is subsequently pointed out. whereafter, a genetic algorithm, which can be implemented via general logic gate circuit, is proposed

    為了提高計算智能的應用效率，本文分析了二進制遺傳演算法中早熟收斂的成因，指出了傳統的變異運算元在防止早熟收斂方面的不足，提出了一種能有效預防早熟現象的二元變異運算元，並在此基礎上提出了一種便於用常規邏輯門電路實現的遺傳演算法。
  16. This paper studied the stability and oscillation with relations to the style of spatial mesh divieded and the differential style in time domain then concluded the adequate mesh style in space and time domains in numerical algorithm

    研究了在求解域內空間網格劃分和時間域劃分形式及時間域差分格式對數值解收斂性質和振?性質的影響，選取了合適的數值計算格式，能使計算結果在收斂性、振?性和結果精度方面都滿足工程計算要求。
  17. The simulation results show that the throughput of proposed method converges to that of eigen - beamforming when the number of users in a cell is large

    模擬結果表明，當小區內的用戶數足夠多時，所提出的方案獲得的系統吞吐量將收斂于在發射端使用特徵波束成形矩陣的吞吐量。
  18. 4. it is used fuzzy neural networks ( fnn ) of the intelligent theory to control the formation process. in order to realize the real - time control, we use the compensatory learning algorithm

    第四，將智能控制理論中的模糊神經網路控制方法引入發酵過程式控制制，為了滿足實時控制的要求，引入了補償模糊運算元，從而大大提高了收斂速度。
  19. The main contributions of this dissertation are summarized as follow : ( 1 ) an ilc approach combining feedforward with current feedback is developed based on optimal feedback control and the gradient method. a sufficient condition that guarantees the convergences is given for linear system. the procedures of designing the algorithm can employ lqr, h2 or h approaches to improve the convergence rate of learning in iterations

    本文的主要成果有： 1 、在開閉環綜合迭代學習控制結構的基礎上，分析了利用梯度下降法設計前饋迭代學習控制器時，為保證演算法的收斂性，閉環控制系統應該滿足的充分條件，並依據提高演算法收斂速率的優化條件，給出了基於lqr 、 h _ 2和h等優化控制技術的迭代學習控制演算法的設計方法。
  20. Bcc algorithm much improves the performance of bc algorithm while possessing the searching ability of a single bacterium, is a kind of potentially powerful optimization method worth of much more research

    細菌群體趨藥性演算法在保留單個細菌較強的搜索能力的基礎上克服了細菌趨藥性演算法收斂速度較慢的不足，是一種具有進一步研究價值的新型函數優化方法。
分享友人
分享到 Line

分享到臉書