最佳化演算法 的英文怎麼說
中文拼音 [zuìjiāhuàyǎnsuànfǎ]
最佳化演算法
英文
optimization algorithm- 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
- 演 : 動詞1 (演變; 演化) develop; evolve 2 (發揮) deduce; elaborate 3 (依照程式練習或計算) drill;...
- 算 : Ⅰ動詞1 (計算數目) calculate; reckon; compute; figure 2 (計算進去) include; count 3 (謀劃;計...
- 法 : Ⅰ名詞1 (由國家制定或認可的行為規則的總稱) law 2 (方法; 方式) way; method; mode; means 3 (標...
- 最佳化 : iptimizaation
- 最佳 : the best; optimum
-
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。Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms
然而,現有的感知器學習演演算法無法輕易的對這個函數最佳化。The emulational calculating theories of traction power supply system ' s operating charts combine with actual things of engineering design at present in chapter three, to set up traction web current distributing mathematical model, integral distributing mathematical model, locomotive distribution and obtaining current model at every moment, and on which making use of mathematical planning methods to set up mathematical models is based at every moment in every instance interval of the railroads. for instance, instantaneous current, instantaneous voltage descent and effective current, main changing capacity and so on, in addition, there are the minimum power shortage model, the optimal transformer substation location, the least engineering expenditure, the optimal mathematical model of traction power supply system. optimize design ' s algorithm of traction power supply system is introduced in detail in chapter four, where programming idea and realizing method of the computer software are given an explanation
本研究主要進行了以下工作:結合牽引供電系統運行圖的模擬原理和現行工程設計的實際情況,建立了牽引網電流分佈、積分分佈、任一時刻機車分佈和取流的數學模型;應用數學規劃方法建立了任一距離區間、任一時刻的瞬時電流、瞬時電壓降數學模型和有效電流、主變容量和主變壓降、最小功率損失、最佳變電所容量、最佳變電所位置、最少工程費用、最少運營維護費用和牽引供電系統方案最優等方面的數學模型;闡明了牽引供電系統優化設計的演算法和計算機軟體編程思想及實現方法;進行了工程實例計算;最後,對牽引供電系統優化設計技術應用進行了總結。By bringing the hereditary way to the domain of the portfolio, the model is proved to be reasonable, and the algorithm is efficient
通過將遺傳演算法引入到證券投資分析領域,對最佳證券組合問題進行了優化計算,同時介紹了利用遺傳演算法計算最佳證券組合問題的求解步驟。This paper develops an ant colony optimization approach to the orienteering problem, a general version of the well - known traveling salesman problem with many relevant applications in industry
摘要本研究發展一蟻群最佳化演演算法求解越野賽跑問題,此問題可被視為一廣義之? ?推銷員問題,其應用?圍極為廣泛。In this paper, systemic theoretic analysis of the relationship of stock structure and operating performance is progressed, based on this, theoretic study and demonstration analysis organic fall together, and the neural networks model that can reflect their relationship total and systemic is established. the input variable of the model can reflect the panorama of stock structure, also, it can embodiment other influence factor of company performance. the evaluation target system that can reflect the operating condition of listed companies completely, impersonality and truly is advanced, at the same time, the best result weights confirm method is brought forward, thereby, the fuzzy integrate evaluations method is improved
本文對股權結構與經營績效之間的關系作了系統的理論分析,並在此基礎上,將理論研究和實證分析有機地結合起來,建立了一個能全面、系統地反映它們之間關系的神經網路模型:該模型的輸入變量在反映股權結構全貌的同時又體現了公司績效的其它影響因素;提出了可以全面、客觀、真實地反映上市公司經營狀況的評價指標體系,同時提出了最佳結果權重確定法,從而改進了模糊綜合評價方法,並利用改進的模糊綜合評價法求出公司經營績效的綜合量化值作為神經網路的期望輸出;改進了神經網路模型的演算法,使其在樣本數據相對較少的條件下也能很好地在性態上模擬被逼近函數。In packet based wireless video communications, when best band distribution, not only source distortion should be considered, but also channel distortion caused by channel errors. the existing macroblock - layer rate control schemes calculates quantization parameters of all macroblocks ( mb ) in a frame in a raster scan order, and then encodes the mbs in the same order. actually, the quantization distortion is heavily dependent upon the coding order of mbs
在基於包的無線視頻傳輸中,最佳帶寬分配時,不僅要考慮信源編碼失真,也要考慮由於通道差錯引起的通道失真;已有的宏塊層碼率控制演算法以矩陣掃描的順序計算一幀中所有宏塊的量化參數,事實上量化失真與宏塊的編碼順序有很大關系,改變宏塊的編碼順序,使復雜的宏塊分配到更多的比特數,顯然能大大提高編碼效率。Then, we establish the finite element analysis models of the antenna in different structure layout, and obtain the corresponding frequencies and model shapes. finally, according to the importance of each object, we set up the model of multiple objects that aims to maximize the first natural frequency and minimize the mass. combining orthogonal experiment and variant weighting coefficient method, we formed an effective multiple objects optimized algorithm basing on the neural network and genetic algorithm
本文首先詳細的敘述了天線結構的各組成單元,闡明了天線反射拋物面的形成原理;然後在ansys軟體環境中建立了不同結構布局下天線的有限元分析模型,分析計算了各種情況下天線的的固有頻率與振型;最後依據天線各指標的重要性,建立了以一階固有頻率最大、質量最小為目標的天線結構多目標優化設計模型,並基於神經網路和遺傳演算法,結合正交實驗和變加權系數技術,形成了一種有效的多目標優化演算法,在matlab平臺下實現了天線的結構多目標優化設計計算程序,求得了天線的最佳結構參數。Through the experimental result of the various methods of pretreatment, the effects were illuminated ; appraisal of every kind pretreatment method was given ; the optimal scheme of enhanced fingerprints based on the fourier transform and direction information was determined, and the standard of the comparing pretreatment algorithm was proposed
通過實驗說明了各種指紋預處理方法的效果;結合特徵點變化,給出了各種預處理方法的評價;確定了基於傅里葉變換結合濾波和方向信息的頻域濾波增強指紋的最佳方案,並提出了比較預處理演算法的標準。This paper introduces the methods of hyperspectral images band selection based on the property of hyperspectral remote sensing images, utilizes the projection pursuit approach to find optimal solutions for a selected projection index based on dynamical evolutionary algorithm and then project a high dimensional data set into a low dimensional data space to produce a sequence of projection images, explores zero - detection method to threshold projection images to detect anomaly tar get
摘要運用基於波段間相關性的高光譜影像波段選取方法進行波段的預選取,採用投影尋蹤的方法在動力演化演算法的基礎上尋找最佳投影方向,將高維數據投影至低維數據空間,在各投影分量圖像上採用零點檢測閾值化的方法進行異常目標的提取。When dealing with multimodality medical images, we investigated the best matching parameters by applying mutual information as the similarity measure and hybrid optimization algorithm as the search strategy
對于多模醫學圖像,以互信息作為相似性測度,使用混合優化演算法搜索出最佳配準變換參數,將待配準圖像進行變換,從而達到配準的目的。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。Based on studying simulated annealing algorithm and powell algorithm, in allusion to simulated annealing algorithm convergence slow, the two fast simulated annealing combination optimization algorithm are offered. one is optimal reservation simulated annealing and powell combination algorithm ( f - psa ). the other one is optimal reservation simulated annealing and genetic algorithm optimal combination algorithm ( f - gsa ). and these two optimal combination algorithm are combined with bp neural network to predict oil reservoir parameters
在深入研究模擬退火演算法、 powell演算法的理論基礎上,針對模擬退火演算法收斂速度慢問題,提出了兩種快速模擬退火組合優化演算法,即最佳保留模擬退火與powell有機結合的fpsa和最佳保留模擬退火與遺傳演算法有機結合的fBoth the theory analysis and simulations prove its superiority. the content of this paper includes : give an introduction about the recent development of the quantum computation in the researches of computation intelligence a frame of quantum evolutionary algorithm is presented an optimal mud based on a quantum evolutionary algorithm is presented a discrete particle swarm optimization based on quantum individual is presented
本文主要內容概括如下:介紹了量子計算在計算智能研究中的發展將進化演算法和量子理論結合,提出了一種量子進化理論框架用量子進化演算法實現cdma中的最佳多用戶檢測提出一種基於量子編碼的粒子群優化演算法This paper firstly overviews the traditional pso algorithm, and introduces the stretching technique to avoid " premature " in pso and to improve the algorithm ' s ablity to search for a global optimum. the stretching technique is applied to the optimization process in mud. by viewing the objective function of mud as the algorithm ’ s fitness function, the multi - uesr detector based on the stretching pso ( spso ) is proposed
本文首先在傳統粒子群優化演算法基礎上,為避免基本粒子群優化演算法「早熟」現象,提高演算法全局尋優能力,引入了拉伸技術,並把其應用到多用戶檢測尋優過程中,將演算法適應值設為最佳多用戶檢測目標函數,提出了基於拉伸技術粒子群優化演算法的多用戶檢測器。In this chapter, we discuss that it is not true that pfq algorithm when approximates a fluid rate - proportional server with seff policy can achieve the same worst - case fairness as that of wf2q. we give a new value of worst - case fairness index for it and show that is inferior to the index of wf2q
與目前性能較好md - scfq演算法相比,雖然smfq演算法公平性稍差,但演算法的計算復雜性大大簡化,更適合在高速網路中應用,因此它是當前rps類流量調度演算法中綜合性能最佳的演算法。Based on the characteristic of the coupling objects it optimizes the decouple parameters, and the simulation result proves that the decoupling optimized algorithm compensates the hydraulic system lag, achieves the best collection efficiency, and enhances the stability of walking
並根據耦合對象的特性,進行去耦優化,模擬結果表明該去搞優化演算法能補償液壓系統滯后特性,獨立進行集擴頭高度最優調節,達到最佳集礦效率,提高行走穩定性。And this method is applied to the 1150t / h boiler of 1 unit in fuzhou power plant of huaneng inc by simulating. the off - line simulation indicates that this method can follow on the characteristic of boiler combustion to find out the optimal point - wise of working
並以華能福州電廠1 #機組1150t h鍋爐為對象,建立鍋爐燃燒系統的穩態模型,在此模型的基礎上通過sqp優化演算法,求取最佳工況下的各過程變量的參考值,提供給下級dcs子系統,從而指導鍋爐的燃燒控制。Second, the optimal linearity weigh data fusion algorithm is proposed by applied the theory of data fusion
其次,根據數據融合理論,提出了最佳線性加權數據融合定位優化演算法。The research shows that with the model established for solving the problem of hybrid power unit matching and proper optimization algorithm, it can get the optimal parameter of the hybrid power unit quickly, thus can get the proper matching project of hybrid power unit during the initial stages of vehicle design
研究表明:利用本文建立的混合動力系統優化匹配問題的求解模型,通過合適的優化演算法,能夠快速獲得混合動力系統的最佳匹配參數,使得在汽車設計的初期階段就能夠獲得合理的系統匹配方案。分享友人