自適應最優化 的英文怎麼說

中文拼音 [zìshìyīngzuìyōuhuà]
自適應最優化 英文
adaptive optimization
  • 自 : Ⅰ代詞（自己） self; oneself; one s own Ⅱ副詞（自然;當然） certainly; of course; naturally; willin...
  • 適 : 形容詞1 （適合） fit; suitable; proper 2 （恰好） right; opportune 3 （舒服） comfortable; well Ⅱ...
  • 應 : 應動詞1 （回答） answer; respond to; echo 2 （滿足要求） comply with; grant 3 （順應; 適應） suit...
  • 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
  • 適應 : suit; adapt; get with it; fit
  1. And then facing the problem of the channel estimation of the adaptive modulation system, we conclude out the channel estimation algorithms on maximum likelihood ( ml ) estimation and maximum a posteriori ( map ) estimation under the condition of flat fading channel and selective fading channel in detail. to meet flat fading channel, we simulate the relationship of the ratio between the error covariance in map estimation and ml estimation and pilot symbol message length. the conclusion can be drawn from these results

    接著，對自適應調制系統中的通道估計問題難點，詳細推導了平衰落通道條件下和選擇性衰落通道條件下最大似然（ ml ）估計和最大后驗概率（ map ）估計演算法，針對平衰落通道，我們模擬了map估計和ml估計的方差與導頻符號長度的關系，模擬結果表明，錯誤方差受多譜勒頻率的變化影響最大，並且對實際的自適應調制系統，導頻符號長度的取值超過20個符號長度時， map通道估計明顯優于ml通道估計。
  2. 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。
  3. Edm has some remarkable advantages over traditional models, includes using implicit causal models, self - learning capacity, weak dependence on domain knowledge, wide applicability, robustness, self - adaptability, and population - based searching, etc. tracing back its intrinsical ideas, edm is just making use of the nature ' s decision making strategy, natural selection, to solve the decision making problems faced by human or the intelligent agents

    進化決策主要利用了進化演算法與形式化計算模型相結合所具備的自動建模能力，它具有隱式因果模型、自學習、弱知識依賴、應用廣泛、穩健性、自適應和群體搜索等優勢。追根溯源，進化決策的基本思想正是利用大自然的決策機制（自然選擇）來解決客觀世界所提出的決策問題，而自然進化又是已知的能力最強的問題求解范型。
  4. In this paper, a lot of researches and exploration are applied to studying the universality and expansibility of hardware and the arithmetic design and code optimization of software. especially, all of the following arithmetics or conceptions are worked out in the research of software design : self - adaptable compression arithmetic based on dictionary model for data collection system, similarity full binary sort tree, a optimized quick search arithmetic and an improved arithmetic of multiplication in the floating - point operation. and all of the arithmetic are designed with mcs - 51 assembly language. the quick search arithmetic, in which merits of both binary search and sequence search are used fully, are based on the specialty of preorder traversal in similarity full binary sort tree

    特別在軟體設計研究中，提出了適用於數據採集系統的數據壓縮演算法? ?基於字典模型的自適應壓縮演算法；提出了類滿二叉排序樹的定義；提出了基於類滿二叉排序樹的先序遍歷特性的最優化快速查找演算法，它充分利用了折半查找和順序查找各自的優點；提出了浮點運算乘法的改進演算法；並在mcs - 51匯編語言層次上對所有的演算法加以實現。
  5. Compared with the classical bp algorithm, robust adaptive bp algorithm possesses some advantages as following : ( 1 ) increasing the accuracy of the network training by means of using both the relative and absolute residual to adjust the weight values ; ( 2 ) improve the robustness and the network convergence rate through combining with the robust statistic technique by way of judging the values of the samples " relative residual to establish the energy function so that can suppress the effect on network training because of the samples with high noise disturbances ; ( 3 ) prevent entrapping into the local minima area and obtain the global optimal result owing to setting the learning rate to be the function of the errors and the error gradients when network is trained. the learning rate of the weights update change with the error values of the network adaptively so that can easily get rid of the disadvantage of the classical bp algorithm that is liable to entrap into the local minima areas

    與基本bp演算法相比，本文提出的魯棒自適應bp演算法具有以下優點： （ 1 ）與魯棒統計技術相結合，通過訓練樣本相對偏差的大小，確定不同訓練樣本對能量函數的貢獻，來抑制含高噪聲干擾樣本對網路訓練的不良影響，從而增強訓練的魯棒性，提高網路訓練的收斂速度； （ 2 ）採用相對偏差和絕對偏差兩種偏差形式對權值進行調整，提高了網路的訓練精度； （ 3 ）在採用梯度下降演算法對權值進行調整的基礎上，通過將學習速率設為訓練誤差及誤差梯度的特殊函數，使學習速率依賴于網路訓練時誤差瞬時的變化而自適應的改變，從而可以克服基本bp演算法容易陷入局部極小區域的弊端，使訓練過程能夠很快的「跳出」局部極小區域而達到全局最優。
  6. In this project, several methods such as observation, documentar y and investigation are used in the whole process of studying and d emonstration. the practical oral communication teaching experience is carried on under the guidance of babansiji ' s optimization theory, a nd summarized and combined automatically with the optimization th eory, in order to achieve the deficient combination of the theory and practice, thus improve students ' d oral communication ability to meet the development of the time

    本課題在研究、論證的過程中綜合運用了觀察法、文獻法、調查法等方法，努力在巴班斯基的最優化理論的指導下，進行具體的口語交際教學實踐，並且把具體的口語交際教學的實際教學自覺地統整于最優化理論，爭取理論與實踐的高效結合，最終提高學生的口語交際能力，適應時代發展的需要。
  7. Genetic algorithm, as a computational model simulating the biological evolution process of the genetic selection theory of dar - win, is a whole new global optimization algorithm and is widely used in many fields with its remarkable characteristic of simplicity, commonability, stability, suitability for parallel processing, high - efficiency, and practibility. on the other hand, there are many op - timization problems in the field of digital image processing, such as image compression, pattern - recognition, image rectification, image segmentation, 3d image recovery, image inquiry, and or so. in fact all these problems can be generalized as the problem of searching for a global optimal solution in a large solution space, which is the classic application field of genetic algorithm

    遺傳演算法是模擬達爾文的遺傳選擇和自然淘汰的生物進化過程的計算模型，是一種新的全局優化搜索演算法，具有簡單通用、穩定性強、適于并行處理以及高效、實用等顯著特點，在很多領域得到了廣泛應用，另一方面，在圖像處理領域有很多優化問題如圖像壓縮，模式識別，圖像校準，圖像分割，三維重建，圖像檢索等等，實際上都等同於一個大范圍搜索尋優問題，而最優化問題是遺傳演算法經典應用領域，因此遺傳演算法完全勝任在圖像處理中優化方面的計算。
  8. The adaptation processing includes linear prediction coefficient adaptation and adaptation of quantization step size for residual signals. based on g. 726, we adopt a huffman coder to make use of probability statistic of bit cascade covering n ( n 1 ) samples generated from adpcm, in order to further reduce the bit rate. ng is lossless entropy coding, the speech quality of our improved algorithm should be same as that of g. 726 standard

    我們的研究和改進工作包括:研究最優非均勻自適應量化器，及其自適應演算法;研究波形預測函數，以及函數零點、極點的自適應演算法;基於每n （ n 1 ）個樣本所對應符號的概率統計，對預測殘差量化值再進行huffman編碼，進一步降低比特率。
  9. 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。
  10. This project intends to construct a parameterized function banks about the internal properties of wavelets aimed at a extensive kind of multi - wavelets and some categories of relatively specific non - separable wavelets with significant practical background, and disclose the essential characters of non - separable wavelets. through optimizing the bases of wavelets, it will build a problems oriented system of self - adaptive wavelets neural network and apply it to the relative problems of signal processing

    本課題擬對比較廣泛的一類多小波及相對特殊但具有十分強烈應用背景的幾類非分離小波建立關于小波各種內在性質的參數化函數庫，並試圖揭示非分離小波的本質特徵；通過最優化小波元和小波基函數，建立面向問題的自適應小波神經網路系統，並應用於相關的信號處理問題。
  11. In practical studies, finally, a hybrid active power filter based on the digital signal processor ( dsp ) and intelligent power module ( ipm ) was set up, including a cycloconverter acem. based on the experimental set - up, plenty of experimental studies were conducted. the experimental results demonstrate that the self - adaptive technique, the topology of series connected hybrid power filter and the corresponding significant technologies described above are feasible and practical

    最後，實際研製了一套以dsp （高速數字信號處理器）和ipm （智能功率模塊）為核心的小功率混合型有源濾波裝置，在交交變頻acem實驗平臺上進行了全面的實驗研究，充分驗證了本文所提出的自適應同步相關濾波技術、優化混合型濾波器拓撲結構和有關的關鍵性技術的正確性和實用性，從而從理論到實踐全方位、成功地實現了對交流勵磁發電機輸出電力諧波抑制的研究。
  12. The method not only can coordinate evolutionary process inside each population by using an adaptive regulation of crossover and mutation operators, but also can advance the formation of - best design by using adaptive adjustment of the competition frequency between populations

    該方法不僅運用交叉運算元和變異運算元的自適應調節技術協調種內進化過程，而且通過種間競爭頻率的自適應調節促進最優個體的生成。
  13. The soccer robot system is a dynamic environment with multiple obstacles. it is a problem of high complexity to perform path planning in such environments. the traditional methods are not efficient in such complex environments. in this paper, a self - learning method of robot navigation is proposed based on the reinforcement learning method and artificial potential field method

    本論文將增強式學習演算法和人工勢場法相結合，提出狀態評價函數和勢場的對應關系，以及控制策略和勢場力方向的對應關系，通過機器人的自適應學習，來形成優化的人工勢場，使機器人能夠以最短路徑繞過障礙，到達目標。
  14. Among those revealed at the genetic and evolutionary computation conference held in london this summer were long - life usb memory sticks, superfast racing - yacht keels, ultra - high - bandwidth optical fibres, high performance wi - fi antennae ( evolved to avoid patent fees ), cochlear implants that can optimise themselves to individual patients and a cancer - biopsy analyser that was evolved to match a human pathologist ' s tumour - spotting skills

    在今年夏天在倫敦舉行的」基因和進化計算大會「上所透露的一些（應用）中就有長壽命usb記憶棒、超速賽艇艇身、超大容量帶寬光纖， （為了逃避專利費而進化的）高性能無線網路天線、能適應單獨病人而自動最優化的助聽器，以及為匹配病理學家識別腫瘤技能而進化出的一種癌癥活組織檢查器。
  15. On one hand, from the technique of constrained least squares and limited energy of additive noise, an effective restored approach by adopting regularization method to overcoming ill - posed problem, solving an equation with a single variable, and using space iterative algorithm is proposed ; on the other hand, aiming at the restoration of blurred image, another effective restoration approach based on least - square algorithm is also proposed in this paper. this method firstly adopts increment iterative algorithm to improve convergence and meanwhile applies regularization technique to overcome ill - posed problem. in the computations, the regularized parameter has its adaptive character, which can be determined in terms of the restored image at each iteration step therefore automatically correct to the appropriate value

    一是從約束最小二乘出發，在加性噪聲能量有界的前提下，採用正則化方法來克服病態問題，通過解一個單變量方程，並利用空域迭代運算實現了一種有效的圖像復原;二是針對模糊圖像的復原問題，從最小二乘演算法出發，採用增量迭代的方法改善演算法的收斂性，同時結合正則化技術克服問題的病態性質，並引入自適應的正則化參數，使其與圖像復原的迭代運算同步進行並自動修正到最優值。
  16. With deepenning of the practice of upgade to centre district and exploration of upgrade theory constantly, the direction of upgrade on the city centre district should be proceed from overall, systematic angle and we should probed a mode that as well can helped the city centre district oneself to be expanded as can optimizes the economy, society, environment thought of research of this text : the main modes of upgrade on city centre districts have been summed up through consulting and summarize the domestic and international city centre district in practice and lose and following the basic principles that the modern city upgrades development

    隨著對城市中心區更新實踐的不斷深入和對更新理論的不斷探索，城市中心區更新方向應從全面、系統的角度出發，貫穿可持續發展的觀點去探索既有利於城市中心區自身擴展、又有利於城市中心區經濟、社會、環境效益最優化模式。本文的研究思路：通過查閱、總結國內外城市中心區更新實踐中的得與失，遵循現代城市更新發展的基本原則，歸納總結出城市中心區的主要更新模式；然後結合濟南這一實例，調查分析濟南城市中心區存在的問題，探討適合濟南城市中心區更新的模式，並給出相應的建議和措施。
  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. The wavelets neural network is the novel and efficient model of nonlinear signal processing developed in latest years. optimized wavelet networks adaptively according to the handled question could offer the scientific guide of model design and the systemic theoretic guarantee

    小波神經網路是近年發展起來的一種高效的非線性信號處理新模型，根據被處理問題自適應最優化小波神經網路的系統性能，能為神經網路廣泛的實際應用提供科學的模型設計指南和系統的理論保證。
  20. This thesis suggests a process considered minimizes the population size as similar individuals occur in the fitter members of the population, which helps reduce the execution times for ga by removing the redundancy associated with the saturation effect found in the later generation. this thesis uses a method that adds dynamic penalty terms to the fitness function according to the optimal degree of solutions, so as to create a gradient toward a feasible suboptimal or even optimal solutions. on the basis of the difference of the biggest and the smallest of fitness of individual, modifying the fitness function in order to convergence is a satisfaction

    動態調節種群大小，去掉遺傳演算法在迭代後期搜索產生的過多相似個體，達到減少計算時間的目的；按照解的優劣程度給適應度函數增加一個在ga搜索過程中動態改變的可變罰函數，給搜索最優解創造一個梯度，使遺傳演算法收斂到可行的較優解或最優解；根據適應度值最大和最小個體的差修正適應度函數，使適應度函數值適中不容易造成收斂太快、局部收斂或根本不收斂而變成隨機搜索；為了避免「近親繁殖」採用競爭擇優的交叉操作；利用并行遺傳演算法的思想，提出一種自適應多子種群進化策略；提出人口汰新政策來解決類似甚至相同的個體的情況發生。
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