adjusting algorithm 中文意思是什麼
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In next section, on basis of discussing negative - pressure - adjusting principle, detailedly summarizes rules of changing negative pressure by adjusting rotate speed of fan motor. then it gives a fuzzy algorithm for the controlling of negative pressure in sliding sealed suction cup
第六，討論了風機負壓控制原理，詳細總結了風機負壓控制規則，開發了滑動密封吸盤負壓模糊控制演算法。 -
And when adjusting parameter t, a family of subdivision surfaces can be constructed. the algorithm is explained in detail
並將該演算法推廣到任意拓撲結構上，使得catmull - clark細分曲面可調。 -
Utilizing the idea of sfs ( shape from shading ) and the facial constrained information, we reconstruct face model by single frontal face image. we utilize orthogonal image method to generate individualized face model by adjusting the parameters of the candide - 4. we realize an algorithm based on minimum features for rapid face modeling from video, by tracking feature points, calibrating exterior parameter, estimating 3d location of feature points
利用shapefromshading的思想和人臉的約束信息實現了基於單幅正面人臉圖像的重建；以candide - 4的參數調整為手段實現基於兩幅正交圖像的人臉模型重建；通過跟蹤視頻中的特徵點，標定相機外參，進而估計特徵點的3d位置，實現了基於一段視頻中小特徵點集的人臉建模演算法。 -
The fuzzy algorithm can be summered with such formula : the fuzzy controller with revising factor is a adapting fuzzy controller. it realize self - adjusting of controlling rules on line
模糊控制演算法可用下式表示：採用了修正因子的模糊控制器接近一個自適應的模糊控制器，實現了控制規則的在線自調整。 -
In the adaptive algorithm, the parameter adjusting laws of the fuzzy logic systems are derived by the tracking error and the identification error
自適應演算法中，不但跟蹤誤差而且辨識誤差都參與模糊邏輯系統中的參數調節。 -
A method of fuzzy optimization design based on genetic algorithm is presented as a new method of parameter optimization design for dc double closed loop speed adjusting system. the method covers three steps. firstly, speed overshoot rate and settling time are chosen as performance indice according to the demand of engineering. these indice are normalized by using fuzzy membership function and then weighted to form objective function of optimization model of the system. secondly, the dynamic response curve of the system with corresponding parameters and peoformance indice are obtained by computerized numerical calculation and simulation. finally, parameters of engineering design are expanded as searching space ; and parameters of speed regulator and current regulator are taken as genes in chromosome. these genes in searching space are optimized to get best solution by way of genetic algorithm. as shown by experimental results, the parameters designed by this method are capable of significantly improving performance indice of the system, which proves that it is a practical and effective method
提出一種基於遺傳演算法的直流雙閉環調速系統參數優化設計方法.根據工程技術的要求，選用速度超調量和過渡時間作為參數優化性能指標.將該指標用模糊隸屬度函數歸一化，再加權平均形成系統優化模型的目標函數.採用計算機數值計算方法，通過模擬獲得系統對應參數的動態響應曲線及其性能指標.最後以工程設計的參數為搜索范圍，以速度調節器和電流調節器的參數為染色體中的基因，通過遺傳演算法在搜索范圍中優化這些基因，獲得優化解.實驗結果表明，所設計的參數能使系統性能指標有顯著提高 -
An infeasible path - following algorithm is constructed, and its polynomial complexity is analyzed. numerical tests show the self - adjusting effect of the parameters
基於這組方程，文中建立了一個求解線性互補的不可行內點演算法，並分析了它的多項式復雜度。 -
A revised fuzzy control algorithm was developed to accelerate iteration convergence in numerical fluid dynamic simulation by adjusting the value of the under - relaxation factor
摘要在原來研究工作的基礎上，提出了一種改進的模糊控制方法，用以調整粘性流場迭代計算中亞松馳因子的值。 -
The algorithm generates three - dimensional terrain model and displays in real time. it uses an efficient and simple method to attain the dependency between sampling points on terrain, and refines the center points in top - down way. it incorporates the dependency of points into their errors so that the cracks inside the terrain block are avoided, at the same time eliminates the cracks at the edges of blocks through adjusting the elevations of those points that cause the cracks
該演算法基於規則格網數據實時生成三維地形模型，並實時顯示；採用了一種簡單而高效的方法來求解采樣點之間的依賴關系；以「從頂向下」方式細分中心頂點；並把頂點依賴關系融合進頂點誤差中，避免了地形塊內部的裂縫，同時通過調整塊邊界點的高程消除了塊邊界處的裂縫；演算法還具有利用幀間相關性，視相關等方面特點。 -
If it is not good enough, optimal control module based on principle component analysis and clustering search will function for optimization. this algorithm makes no request for accurate analytical model and maintains search efficiency and self - adjusting performance by an optimal parameter set derived from process data, which is proved to be effective. by practical running of dcs, a prominent tracing performance is gained and variation of parameters is limited in a small range, which enhance stability and production benefit of sintering process obviously
燒結過程是一個影響因素復雜、干擾嚴重、具有不確定性的工業過程，傳統的基於對象精確解析模型的優化策略難以奏效，因此在控制參數優化模塊中提出了一種基於主元分析和聚類搜索的優化匹配演算法，該演算法不要求對象的精確模型，其搜索效率和自校正性能依賴于從生產過程歷史數據中抽取的優化參數樣本庫，充分利用了燒結生產過程積累的生產數據所包含的信息，取得了不錯的效果。 -
The core algorithms in the candidate set creating function module are code pretreatment algorithm and candidate set creating algorithm. candidate list creating function module is the most important module, its core algorithms include candidate list adjusting algorithm, candidate matrix creating algorithm, original word lattice creating algorithm, language element node creating algorithm, optimal candidate words searching algorithm and candidate list creating without code algorithm which
候選列表生成模塊是整個系統最主要的模塊，主要核心演算法包括候選字詞調整演算法、候選矩陣生成演算法、初步詞網格生成演算法、語言元素結點的生成演算法、尋找最佳語句候選演算法以及無編碼候選列生成演算法，無編碼候選列生成演算法利用對用戶已輸入的漢字進行切分標注，通過系統中的知識庫信息在沒有輸入編碼的情況下預測后續的輸入。 -
The reactive power optimization compensation is to find the suitable compensation place and the best compensation capacitance by adjusting the generator bus voltages, transform taps and reactive compensation capacities in the condition of satisfying power load requirement, which can guarantee the secure and high quality power for consumers. the improved genetic algorithm is applied in this thesis according to the features of reactive power optimization of high voltage transmission bus, which are the non - linear problems with multi - variables and multi - restrictions
電網無功優化補償是在有功潮流調度給定的情況下，以負荷節點電壓和線路輸送無功功率作為狀態變量，運用優化演算法，調節發電機節點電壓、變壓器可調分接頭和無功補償裝置，在滿足電力負荷的要求下，尋求合理的無功補償點和最佳補償容量，保證電網能夠安全、優質地向用戶供電。 -
Aimed at the 0 - 1 knapsack problems, the article proposes a kind of hybrid intelligence algorithm combining with the adjusting strategy, the greedy algorithm and the binary particle swarm optimization algorithm
摘要針對0 - 1背包問題，提出一種具有修復策略的、貪心演算法與二進制粒子群演算法相結合的混合智能演算法。 -
On the basis of above work, the neural network model of bottomhole pressure during under - balanced drilling is established, including determining network structure by using empirical method, adjusting the network weight using study algorithm
在此基礎上，建立了欠平衡鉆井井底壓力的神經網路模型，包括用經驗方法確定網路結構，用學習演算法調整網路的權值。 -
In order to overcome the chattering phenomenon, a new approach with saturation boundary layer and adaptive variable structure control with twin - neuron ( avsct ) is proposed. the neuron adaptive psd intelligenc control algorithm is proposed for the first time in double adaptive neuron vsc controller and adopted method which separately adjusting learning rate in study of submarine combined maneuvering control system of near - surface
針對變結構控制存在抖動的缺點，首次提出了用飽合邊界層和自適應雙神經元變結構控制器（ adaptivevariablestructurecontrolwithtwin - neuron簡稱avsct ）的設計方法，並將其應用於潛艇空間運動聯合控制系統中。 -
In the process of adjusting computing program, the computation of air gap between stator and rotor is very important to overall performance of computing program. the algorithm of finding boundary point according to input logic data, including the outer boundary of rotor and the inner boundary of stator, is proposed to deal with the problem of mesh by the way of relative motion between stator and rotor
修改計算程序的過程中，對定、轉子氣隙部分的剖分及計算是關鍵部分，本文具體詳細地給出了定、轉子相對運動的實現方法中由邏輯數據確定用於形成運動邊界的邊界節點演算法，邊界節點指用於氣隙剖分的兩條邊界節點：轉子外邊界節點和定子內邊界節點。 -
After adjusting and revising algorithms proposed by precedent researchers, we develop a constrained adaptive association rule mining ( caarm ) algorithm that can find rule with specific head, and it does not require a given minimum support
論文中採取的是一種能自動調節最小支持度的、受限的關聯規則挖掘演算法caarm ，該演算法是在前人研究的基礎上，作了一些調整和改善後得到的。 -
We study the wavelet neural network theory and how to build models. the wavelet networks can be used in ecg signal compression by adjusting wavelet basis and weight values. at the same time, this algorithm also can reconstruct the ecg signal very well
在理論研究了小波變換方法和神經網路的基礎上，提出了基於小波神經網路的ecg數據壓縮演算法，並分析研究了基於小波神經網路壓縮ecg數據的原理和模型的構建方法。 -
The experimental result indicates that the neuronic learning by making input variable fuzzy and self - adjusting algorithm have strong self - adjustment, quick response and good robustness for the pressure control of metallurgical valve
試驗結果表明，這種通過對輸入變量模糊化的神經元學習和在線自調整演算法，對其冶金閥門的壓力控制具有很強的自適應性，且響應程度快、魯棒性好。 -
Based on the retransmission mechanism, the l2tp adjusting algorithm is mended. the scheme reduce the tunneling time and making its transmission more flowing. it can provide better qos requirement
根據l2tp的重發機制，提出了一種l2tp性能自適應調節演算法，其降低了隧道建立的時間，使其傳輸更均勻，可以提供更好的qos要求。
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