convergence model 中文意思是什麼

convergence model 解釋
輻合模式
  • convergence : n. 1. 聚合，會聚，輻輳，匯合。2. 集合點；【數、物】收斂；【生物學】趨同（現象）。
  • model : n 1 模型，雛型；原型；設計圖；模範；（畫家、雕刻家的）模特兒；樣板。2 典型，模範。3 （女服裝店僱...
  1. Agglomerative effectiveness : the effect on regional economical inequality because of industrial agglomeration. in order to show the effects of industry on regional inequality, the model of panel data is applied to analyze the relationship between industrialization and economy growth., which is helpful to estimate whether the tendency of growth is convergence and the structural effectiveness. the time series model is used to analyze the effect of industrial agglomeration on regional inequality, where gini coefficient is taken as the index of industrial agglomeration

    為了更清楚地把握工業在地區差距上的效應，本文用面板數據模型分析工業化程度和經濟增長之間的相關關系，從而判斷區域經濟發展趨勢是否收斂，工業在「結構效應」方面的影響;計算表示工業集聚程度的基尼系數，通過時間序列模型分析工業集聚對地區經濟差距的「集聚效應」影響。
  2. After the study on the general industrial organization model, the paper defines radical innovation based high - tech industry and its characteristics, and then it points out that there are three different actual models, the first one being ambidextrous organization or pan - ambidextrous organization model featuring the cooperation between small enterprises and conglomerates, the second forward industrial convergence organization model and the third horizontal industrial convergence organization model

    通過對一般產業組織模式的研究，對突破型高新技術產業的概念進行界定，指出其特徵，並提出突破型高新技術產業組織的一般模式和三種具體模式： （ 1 ）小企業與大集團的二元或泛二元組織模式， （ 2 ）前向產業會聚的組織模式， （ 3 ）橫向產業會聚的組織模式。
  3. Gathering fuzzy technique and model - identifying technique to processing research, fuzzy model - identifying technique, a intersecting science, has been come out, which has become hoto in this thesis, based on deeply researching the fuzzy unit - identifying and complete analysis on data of measuring well of the chandqing wushenqi district, the method of constructing self - adapting multi - dimension non - liner subjection degree function has been created without precedento based on the extraction of routine measuring well character parameters, and for adopting self - adapting method to carry through character compression, the model has been improved the performance and enhanced the convergence speed and sorted precision of the algorithm o the relation of measuring well information and the oiliness & gassiness of sandstones is fuzzy ? in the thesis, the law of max subjection degree has been studied and improved, and proved preferable effect in the practical application

    論文在提取一些常規測井特徵參數的基礎上，採用自適應方法對各變量多項式進行優選，減少了特徵參數間的相關性，突出了類別間的差異性，從而優化了模式的質量，提高了分類的精度。測井信息和砂體的儲集性之間的關系是帶有模糊性的，論文對模糊「最大隸屬原則」進行了研究和改進，並在實際應用中取得了較好的效果。論文成功研製了「自適應」的演算法和軟體? ?即通過對正確回判率的比較，然後對參數進行調節的辦法，可將模式「訓練」到最佳狀態。
  4. It also particularizes spatial econometrics and spatial regression model. chapter three first studies the temporal evolvement characteristics of club convergence in the development of chinese regional economy

    第三章，首先研究了中國區域經濟增長俱樂部趨同的時間演變特徵，並把這種趨同的空間分佈格局加以可視化，探討其空間特徵。
  5. We also give the properties and the convergence of the two models. in the aspect of the fractal approximation of surfaces. we propose the improved quadrangular projected ifs ( qpifs ) model and quadrangular rational projected ifs ( qrpifs ) model

    在曲面的分形逼近方面，首先給出了改進后的四邊域曲面的投影迭代函數系統模型，然後給出了四邊域曲面的有理投影迭代函數系統模型。
  6. The diagnostic analysis for the sandstorm process on the base of height, temperature, pressure and wind etc output from the model shows that the upper cold trough, low - level wind shear, surface cold anticyclonic ridge, mesoscale cyclone and cold front are the main synoptic systems, surface cold anticyclonic ridge and cold front provide condition of wind force to occurrence of the sandstorm weather, the strong mesoscale cyclone before front makes pressure gradient before and after cold front obviously strengthen, moreover, and it increases obviously the temperature of the controlled area, as a result, the updraft movement caused by convergence before front strengthens

    500hpa強鋒區、 700hpa切變和鋒前中尺度系統的強弱及位置變化是沙塵暴天氣發生發展到減弱的直接原因。地面冷高壓、地面氣旋及冷鋒是造成本次沙塵暴天氣的主要地面天氣系統。地面冷高壓及冷鋒為沙塵暴天氣的發生提供了風力條件，而中尺度氣旋使冷鋒前後氣壓梯度明顯增強外，又使所控制的區域增溫明顯，使鋒前輻合上升運動加強，為沙塵暴天氣的發生提供了熱、動力條件。
  7. The viscid flux is discretized by second - order central difference scheme. baldwin - lomax turbulence model is implemented in navier - stokes flow solver. for steady - state calculations, a four - stage runge - kutta scheme with convergence acceleration techniques such as local - time stepping and implicit residual smoothing is used

    其中，定常計算中的時間推進採用四步runge ? kutta方法，並應用了當地時間步長、隱式殘值光順等加速收斂措施；非定常計算中的時間推進採用jameson的隱式雙時間方法。
  8. This thesis has studied the dynamic features of a class of the discrete - time neural network model of two neurons, such as the convergence and periodicity and etc. the function of the neuron signal transmission in this model, which belongs to three piecewise constant argument, indicates the following charactersif the signal of one neuron on the network is active between a and b, it will produce invariable encouragement effect on another neuron ; if the signal of one neuron is lower than a, it will produce invariable restrain effect on another one, if the signal of one neuron is higher than b, it will produce no effect on another one

    本文研究了一類二元離散人工神經網路模型的解的收斂性及周期解的存在性等動力學特徵。該模型的神經元信號傳遞函數是三段常數不連續函數。這種信號傳遞函數表明如果某神經元的信號在a與b之間活躍，則它對另一個神經元產生恆定的激勵效果，如果某神經元的信號低於a ，則它對另一個神經元產生恆定的抑制效果，如果某神經元的信號高於b ，則它對另一個神經元不產生作用。
  9. Fuzzy pattern recognition model with cross iteration and its convergence

    模糊模式識別交叉迭代模型與收斂性
  10. Abstract : in this paper a new identification model constructed by neural networks with modified inputs and stable filters is presented for continuous time nonlinear systems in order to reduce the inherent network approximation errors. an adaptive law with projection algorithm is employed to adjust the parameters of networks. under certain conditions, convergence of the identification error is proved

    文摘:在用神經網路進行系統建模時，建模誤差的存在是難免的.為了減小這種誤差，本文對連續時間非線性系統提出了一種新的神經網路辨識模型，它是由帶有輸入修正的神經網路和穩定濾波器組合而成.文中給出了權值的學習演算法，即權值是根據辨識誤差的投影演算法來改變，證明了在一定條件下辨識誤差的收斂性
  11. Finally, a soft sensor model of melt index in polymer reaction based on the proposed method is established, and the simulation results show that in contrast to the traditional fuzzy neural network the proposed method is not sensitive to initial parameters and possesses good convergence capability and prediction precision

    最後用該建模方法建立了聚合反應中熔融指數的軟測量模型，並與完全基於梯度下降的模糊神經網路軟測量模型進行比較。結果表明改進的模糊神經網路對初始值的選擇不敏感，並且具有很好的收斂性，同時還能達到指定的預測精度，很適合工程應用。
  12. Finally, jinduicheng mo. company open - pit is quoted as an instance for building mine transportation vechile scheduling system model, and according to the model, adopt genetic algorithm to study the optimization of mine transportation vechile scheduling system. a rational project is given to this problem, the paper also analysized the optimial design of mine transortation vechile scheduling, the model offering in this paper, convergence of optimal algorithm and data bank management, and transportation project of minerals and disposals is optimized, which realize the decision of transportation project and data visibilization, and wich improves the science and information process of transportation department management

    最後，論文以金堆城鉬業公司露天礦為例建立礦山運輸車輛優化調度模型，結合所建立的礦山車輛優化調度模型，採用遺傳演算法對礦山運輸車輛系統進行優化研究，為其提供合理的體系方案。並對礦山車輛優化調度系統設計進行了詳細分析，提出的礦山車輛優化調度系統，集優化演算法與數據庫管理分析於一體，進行礦巖運輸方案的優化，實現調度方案決策的可視化、運行數據的可視化，促進運輸部門管理的科學化、信息化進程。
  13. The following aspects are involved in this dissertation : 1 ) properties of convergence of the network model under the circumstance of few rooms, the prediction of the early production tally with the growth of the fire in building on the whole while the prediction becomes most fallacious when the rooms increase to a certain number, for instance, 9. the solution of the net mass flux, positive mass flux and negative mass flux is improved and then mass conservation is strictly maintained so that the prediction of the software become more credible and reliable

    本文主要涉及以下幾個方面: 1 ）軟體計算收斂性態在房間數目很少的情況下，軟體開發的前期成果能在總體上成功預測建築火災的發展過程，當房間數目增加到一定的數目（如9 ） ，軟體計算將出現劇烈振蕩的問題，預測結果極不理想。本文改進了軟體對凈質量流量、正、負質量流量的求解，保證了三者之間的嚴格守恆關系。經過改進，軟體的預測結果更可靠，更可信。
  14. The main relative systems of heavy - hard rainfall in northeast plateau are western pacific subtropical high, south asia high, low latitude systems, upper level jet ( ulj ), low level greater wind speed axes, westerly trough and plateau trough, low level vortex, cold frontal, occluded front in qinghai lake, mesoscale low pressure, heat low - pressure in qinghai, shear line and convergence line, mesoscale cloud cluster, etc. the west subsidiary model of south asia high is the main circulation type of heavy - hard rainfall in this area

    3 、西太平洋副高、南亞高壓、低緯系統、高空急流、低空大風速軸；西風槽和高原槽、低渦、冷鋒、青海湖錮囚鋒以及中尺度低壓、青海熱低壓、切變線與輻合線、中尺度雲團等系統是高原東北部地區大到暴雨的主要相關系統。 100hpa上的南亞高壓中心強度加強，位置東西擺動預示高原地區將有降水產生，中心強度減弱，降水過程結束。南亞高壓西部副型是高原東北部地區大到暴雨的主要流型。
  15. The model simulations indicate that the severe storm is occurred in the pattern high - level of northwest flow, the waterjumping downhill flow form taihang mountain is the key mechanism to initiate the convective, on the other hand, the terrain can induce unbalanced low - level flow, which play an importance role in generating the mesoscale gravity waves ( mgws ) by convergence and divergence in low - level troposphere

    （ 2 ）太行山對華北強對流風暴的發生有重要作用。一方面，地形可引起邊界層風場的變化，包括風垂直切變、下坡氣流和中尺度輻合線，從而對風暴的啟動、組織和移動發揮作用；另一方面，山脈背風波動和地形產生的不平衡氣流，有利於中尺度重力波（ mgws ）的產生和維持，並對下游地區強對流天氣的發展產生影響。
  16. The artificial neural net ( ann ) way is universal regard as one of the most effective ways of stlf. in this paper, some research is developed for stlf using ann ways in several parts : the first part is about the arithmetic of ann based on bp model, namely the advanced of traditional bp arithmetic, one alterable step and scale bp arithmetic based on comparability of model and probability of accepting bp arithmetic is used to enhances a lot the convergence rate of learning process of bp network, but also avoid the stagnation problem to some extent. it indicates that the ann ' s efficiency and precision by the way can be ameliorated by the simulation of real data

    神經網路方法在短期預測中已經被公認為較有效的方法，本文針對神經網路用於電力系統短期負荷預測的幾個方面展開研究工作：第一部分研究一般用於負荷預測的神經網路bp模型的演算法，即對傳統的bp演算法的改進，將一種基於模式逼近度和接受概率的變步長快速bp演算法應用到短期負荷預測，模擬結果表明該方法有效的改善了bp演算法收斂速度慢以及容易陷入局部最小點的缺點，從而提高了神經網路用於負荷預測的效率和精度。
  17. 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。
  18. The two - stage modeling method takes into account the characteristics of software project risk management and software metrics data, integrates qualitative knowledge and quantitative data. to study the software project iterative process risk ’ s bayesian network model, the definition of cyclic bayesian network is presented, probability convergence property of directed cycle in cyclic bayesian network is proved and probability inference method is put forward

    論文在軟體項目迭代過程風險的貝葉斯網路模型研究中，定義了有環貝葉斯網路，證明了有環貝葉斯網路中有向環的概率收斂性質，給出了有環貝葉斯網路的概率推理方法。
  19. 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。
  20. Trust region methods has drawn our attention increasingly as one approximating method guarantees general convergence. its basic step is as follows : first, we set trust - region radius, and then we get a trial step produced by constraint quadratical model

    信賴域方法是近年來日益受到關注的一種新的保證演算法整體收斂性的逼近方法，信賴域方法的基本步驟是首先指定一個信賴域半徑，然後用帶約束的二次模型來確定搜索方向與步長大小。
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