離散最優化 的英文怎麼說

中文拼音 [lísǎnzuìyōuhuà]
離散最優化 英文
discrete optimization
  • 離 : Ⅰ動詞1 （離開） leave; part from; be away from; separate 2 （背離） go against 3 （缺少） dispens...
  • 散 : 散動詞1. （由聚集而分離） break up; disperse 2. （散布） distribute; disseminate; give out 3. （排除） dispel; let out
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 離散 : dispersed; scattered about; separated from one another; spread; debunching; straggling; fringing;...
  1. In the end, by the logic theory of analogism, the paper gets the logistics optimized model of operation entropy in discrete manufacturing system of job - shop ordering type

    最後，利用類比推理的邏輯學理論得出單件小批訂貨型離散製造系統物流優化運行熵模型。
  2. Aimed at multiple - limit, multiple - object, non - linear, discrete of voltage / var optimization and control, on account of whole evolution of evolutionary programming, no demand for differentiability of optimal function, and random search, it can obtain global optimum with mayor probability, this paper solve optimal function with evolutionary programming

    在對優化的具體實現過程中，由於進化規劃著眼于整個整體的進化，對于所求解的優化問題無可微性要求，採用隨機搜索技術，能以較大的概率求解全局最優解的特點，針對電壓無功控制模型是一個多限制、多目標、非線性、離散的優化控制問題，因此應用進化規劃演算法進行模型的求解。
  3. By use of - perturbation method with spatial discretization, the hydraulic transient system controlled by quasilinear partial differential equation was converted to a time - continuous linear system, so that the inverse problem of hydraulic transients under limited pressure could be sol ed with the optimal control theory for time - continuous systems

    採用-攝動法並經過空間離散，將由擬線性偏微分方程式控制制的有壓瞬變流系統轉化為時間連續線性系統，從而使有壓瞬變流限壓控制反問題能應用時間連續系統最優控制理論來求解。
  4. On the base of analysing the ordinary design methods, aiming to the minimum annual cost or investment, taking the pipe length and water pump lift as decision - making variables, the linear programming models are presented to optimize the diameters of main network and field network

    論文首先分析了常規微灌系統規劃設計方法，在此基礎上，以年費用或投資最小為目標，用離散管徑方法，以管段長度和水泵揚程為決策變量，分別建立了水泵加壓式和自壓式干管管網優化設計以及田間管網優化設計線性規劃模型。
  5. 2. considering the characteristics of topology optimization of structures with discrete variables, a mathematics model of topology optimization of structures with discrete variables, including sectional variables and topology variables, with the aim of getting the minimum weight of the structures, is built up in this paper. this paper develops a from easy to difficult structure stability analysis mechanism, which

    2 .論文針對離散變量結構拓撲優化的特性，建立了包含截面設計變量和拓撲設計變量，以結構重量最小化為目標的離散變量結構拓撲優化數學模型，採用了由易到難的結構機動性分析機制，大大減少了結構重分析次數。
  6. Finally, we convert this optimal problem to a nonlinear parameter optimization problem by collocation method. these studies examine the collocation method in case of equally or non - equally spaced division points, and in case of different numbers of nodes

    本文採用直接搜索法和節點配置，將連續動態最優控制問題轉換為靜態離散的數值優化問題，並對狀態和控制變量的約束進行轉化。
  7. This paper can put into four parts ? this first part is the description and theoretical analyses of source coding, which focus on the research of optimizing equal quantization ? the second part presents the theoretical description of joint channel - source coding, which focus on the research of combined channel - source coding o the third part is about the application of combined channel - source coding to two different channel models, binary symmetric channel and cdma channel o in this part, two different coding designs are given according to different characters of these two channels ? and the last part is the description of simulation of combined channel - source coding ? most of my work are about two parts, one is to find the most appropriate quantization steps and centroid points of separate channel - source coding, another is to simulate the combined channel - source coding ? comparing the simulation results of separate channel - source coding and combined channel - source coding, the characters of joint channel - source coding are given

    本論文可以分成四部分：第一部分給出了信源編碼的基本概念和理論分析，重點放在最優均勻量化編碼的研究方面；第二部分給出了通道?信源聯合編碼的原理敘述，重點放在復合式通道?信源編碼的分析研究上；第三部分將通道-信源聯合編碼原理應用在兩種噪聲通道上：離散無記憶通道和cdma通道，並根據兩種通道的不同特點詳細描述了兩種相應的編碼設計方案；第四部分給出了復合式通道-信源編碼的模擬結果以及對結果的相應分析。
  8. Based on polymerization reaction of the nylon - 6 rubberized cord fabric production of distributed control system in yangzhou organic chemical plant computer integrated manufacturing system ( yh - cims / dcs ), the multiple stepwise regression method was used to build the statistic mathematical models of the molecule weight and the monomer quantum of casting slice belt. then the optimization model of polymerization reaction was presented, which was solved by using simulation annealing algorithm to obtain the best techniques parameters. the improved hybrid genetic algorithm and back propagation algorithm are combined to train neural network, brought out the neural network prediction model of casting slice belt ' s average molecule weight to guide the technologist on - line

    提出了流程工業生產過程操作優化策略和應用實施方法，包括生產過程離線優化策略、非線性問題求解策略、在線優化模型及學習策略；結合揚州有機化工廠計算機集成製造系統集散控制系統（ yh - cims dcs ）的實施，針對錦綸? 6浸膠南京理工大學博士學位論文摘要簾于布生產中己內酚胺聚合反應過程優化控制這一工程實際問題，採用統計建模方法，建立了聚合反應過程的優化模型；為求解所得的優化模型，提出了種改進的有約束條件下的模擬退火演算法，該演算法能避免陷於局部最優解，有效地提高了所求解的全局性和可靠性：提出了基於改進的ga演算法和sp演算法相結合的混合學習演算法，建立了基於神經網路的聚合反應過程生產目標在線預測模型，該演算法和模型滿足了生產中的實時性和實用性要求。
  9. Concerned the discrete area of the steel shape, a method is presented : searching the best solution of continual variable first by criteria, and next searching optimal solution by the direct - searching method of mixed variable on the original point of the continual result

    慮到型鋼截面的離散化，本文對多層輕鋼框架結構優化提出一種近似的處理方法，即先用準則法求得連續變量最優點，然後將其結果作為混合變量直接搜索法的初始點進行第二步優化。
  10. The paper is theoretically based on modern network optimization, including graph theory, optimization, operation research, network management

    本文的理論基礎是現代網路優化理論，其中包括圖論、最優化方法、運籌學、離散數學及代數結構學。
  11. Reinforcement learning algorithms that use cerebellar model articulation controller ( cmac ) are studied to estimate the optimal value function of markov decision processes ( mdps ) with continuous states and discrete actions. the state discretization for mdps using sarsa - learning algorithms based on cmac networks and direct gradient rules is analyzed. two new coding methods for cmac neural networks are proposed so that the learning efficiency of cmac - based direct gradient learning algorithms can be improved

    在求解離散行為空間markov決策過程（ mdp ）最優策略的增強學習演算法研究方面，研究了小腦模型關節控制器（ cmac ）在mdp行為值函數逼近中的應用，分析了基於cmac的直接梯度演算法對mdp狀態空間離散化的特點，研究了兩種改進的cmac編碼結構，即：非鄰接重疊編碼和變尺度編碼，以提高直接梯度學習演算法的收斂速度和泛化性能。
  12. However, the optimization methods by simulated evolutions are appropriate for solving the non - linear, discrete problems and combination optimization problems which are difficult to be solved via conventional methods

    而模擬進化優化方法最適于解決那些傳統優化方法難以求解的高度非線性、離散性問題及組合優化問題。
  13. ( 3 ) reactive power optimal of radial network is a very complex nonlinear discrete optimal problem. to ensure the speediness, feasibility and optimality, evolution algorithm is improved by combination with interior point sequence linear optimal algorithm and principle of var balance. the improved algorithm is applied to the reactive power optimization and achieves distinct effect

    （ 3 ）配網網路無功優化是一個非常復雜的非線性離散優化問題，為了保證計算結果的快速性、可行性和最優性，本文結合內點法的逐次線性優化方法，以及配網電壓調節的特點，對模擬進化優化方法進行了改進，並將該演算法應用於配網無功優化問題的求解，取得了顯著的效果。
  14. ( 2 ) reactive power optimal of hv network is a very complex nonlinear discrete optimal problem. to ensure the speediness, feasibility and optimality, evolution algorithm is improved by combination with interior point sequence linear optimal algorithm and expert knowledge of voltage / var adjustment. the improved algorithm is applied to the reactive power optimization and achieves distinct effect

    （ 2 ）高壓網路無功優化是一個非常復雜的非線性離散優化問題，為了保證計算結果的快速性、可行性和最優性，本文結合內點法的逐次線性優化方法，以及電壓無功調節的專家經驗，對模擬進化優化方法進行了改進，並將該演算法應用於無功優化問題的求解，取得了顯著的效果。
  15. The engendering source of traffic volumes and their general influential factors have been presented, and the situation of nowadays highway transportation has been discussed. according to the introduction of traffic distribution theory and classical assignment method, analysis of traffic flow path selection among cities and that of special influential factors for traffic flow on toll highways, initial analysis to the forming mechanism of traffic volume on road sections has been made, and a probability model for path selection has been set up with the maximum - utility theory and disaggregating model. detailed analysis to impedances on road sections and their functions ( especially to three main composing factors of the impedances as cost of time, transport and toll and to the functional relations with traffic loads ) was made, at the same time, the relative cost calculating model was set up on the basis of the state - of - art achievements in both international and national researches

    主要研究內容包括：交通量的產生根源及一般影響因素分析和當前公路運輸地位討論；從交通分配理論及經典配流方法著手，通過分析城市間交通流路徑選擇行為和收費公路路段交通量特殊影響因素，初步提出路段交通量的形成機理，並採用效用極大原理和非集結模型理論（ disaggregationmodel ） ，建立用戶出行路徑選擇概率模型；對路段阻抗及路阻函數（尤其對行程時間費用、車輛營運費用和道路收費這三個構成路段阻抗的主要因素及其與交通負荷間的函數關系）進行較為詳盡的分析，並以現階段國內外較為先進的研究成果為依據建立相應的成本測算模型，其中，特別提出了兩種確定客貨車輛時間價值的分析方法；離散分析法和時間-費率轉換法，後者是在目前基礎調查、統計數據資料不夠齊全的現實下提出的一種確定道路系統內務車型時間價值的較為實用的新方法；對我國公路收費政策的背景和理論、實踐依據及費率的各種影響因素進行重點分析；從數學的角度證明合理費率的存在性，並以最優化理論為基礎，建立在普通收費公路和擁擠路段交通調控型收費公路兩種模式下合理費率的計算模型等。
  16. Bringing forward an intelligent decision method of image segmentation based on roughset theory to make the system automatically select segmentation algorithm in simple scenes. firstly, it selects some representative segmentation algorithms to make up of an algorithm library, which is used to process kinds of sample images ; secondly, it makes the decision informationtable utilizing diversified numerical features extracted from the sample images and the optimalsegmentation algorithm of each sample image according to segmentation quality evaluationcriterion ; finally, it applies rough set theory on discretization and attribution reduction of

    為了使系統在簡單場景下能夠通過自動選取分割演算法來提取目標，提出了一種基於粗糙集理論的圖像分割智能決策方法。首先選取若干具代表性的分割演算法構成演算法庫，並用它們對各種樣本圖像進行分割;然後利用從樣本圖像中提取出來的各種數值特徵，並根據圖像分割質量評價標準評判出各樣本圖像的最優分割演算法，用其構成決策信息表;最後應用粗糙集理論來對決策信息表進行離散化處理和屬性約簡，以生成圖像分割演算法選取的決策規則。
  17. Firstly, a new joint filterbank precoders and decision feedback equalizers structure is proposed, and the corresponding optimization result based on the maximal mutual information criterion is derived. secondly, the concept of dt canonical model is proposed, which is very suitable for the task of blind signal processing based on the second - order statistical of the observations. thirdly, the methods of blind equalization and identification of the tv dispersive channels are researched systematically based on the proposed dt canonical model, and a subspace blind identification algorithm of the time - invariant channel matrix is developed

    本文創新性的成果在於：提出了預編碼-判決反饋聯合均衡系統結構，並從理論推導得出了對應的最大互信息量最優化設計結果；首次提出了時變色散通道的離散正則模型概念，該模型適宜於利用觀察數據的二階統計量進行盲信號處理；基於離散正則模型對時變色散通道進行了系統的盲均衡和盲辨識方法研究，提出了對時不變通道矩陣的子空間盲辨識演算法；針對誤差傳播效應問題，提出了可以消除誤差傳播效應的兩級盲辨識演算法；提出了基於離散正則模型的直接盲均衡演算法；提出了基於特徵恢復思想的神經網路直接自適應盲均衡演算法。
  18. 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。
  19. This paper introduces principle of fractal and the mandelbrot fractal theory. it analyze the fractal character and study the mltifractal for the clutter tracking. in according to the rage which follow the q on point fractal dimension and region fractal exponent. we confirm the prepreerence multifractal high moment, combining the clutter feature of pd radar and novel multifractal approach, the mainlobe clutter tracking come true

    以單點分形維數和區域分形指數隨q值的變化程度為標準，確定了多重分形最優高階矩數，結合pd雷達的雜波特性和多重分形演算法，實現了主瓣雜波跟蹤;研究了貪婪snake方法在雜波跟蹤中的應用，介紹了snake基本模型的能量函數，並分析幾種常用的snake模型的離散能量函數。
  20. On the condition of the missing pixel information of the observed image during the process of imaging, based on the analysis of the degradation principle and establishment of the math model as well as discrete expression, this paper incorporates optimization method into the process of blur image restoration and proposes the deconvolution methods of non - zero background motion blurred image based on conjugate gradient optimization iteration

    摘要針對成像過程中觀測圖像存在像素灰度信息丟失的情況，在分析此類圖像的退化原理及建立其數學模型和離散化表達式的基礎上，將最優化方法中的共扼梯度法引入圖像復原過程中，提出基於共軛梯度優化迭代的非零背景運動模糊圖像去卷積方法。
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