指數回歸演算法 的英文怎麼說

中文拼音 [zhǐshǔhuíguīyǎnsuànfǎ]
指數回歸演算法 英文
exponential backoff algorithm
  • 指 : 指構詞成分。
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 回 : 回構詞成分。
  • 歸 : Ⅰ動詞1 （返回） return; go back to 2 （還給; 歸還） return sth to; give back to 3 （趨向或集中於...
  • 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...
  • 指數 : 1. [經] （比數） index number; index 2. [數學] exponent
  1. In view of the fact that the genetic algorithm of stochastic programming based on random simulated technology has succeed greatly, this paper points out that changing parameters of genetic algorithm can obtain a sequence of optimum values of goal function. taking these genetic algorithm values as sampling data, we can get fitting optimum function by using multivariate spline regression and get the lipschitzs constant of the fitting optimum function. so for any chance constrained programming problem, we can get its interval estimate

    鑒于基於隨機模擬技術的遺傳演算法在求解隨機規劃問題上的優越性，本文指出，改變遺傳演算法的參數條件，在此基礎上求得機會約束規劃的若干個最優值，以這些最優值為樣本點，利用多元樣條回歸，擬合得到最優值函數，進而求出最優值函數的lipschitzs常數，從而對于任一機會約束規劃問題，都可以得到它的一個區間估計。
  2. This paper explains the basic knowledge and basic theories of national debt, gives the calculating formula of construe and stochastic construe separately. combing with the monadic regression model, the paper analyses the development of issuing scale of national debt of our government annually, studies the evolvement of scale of national debt and its relevant policies, and analysis the experience indexes measuring scale of national debt which is prevail in the world quantificationally. comparing with western developed countries further, based on that, there is a conclusion in this paper, the government issuing scales of national debt is appropriate at present, but it is impossible to increase the issuing scale

    本文闡述了國債的基本知識和基本理論，用數學分析和隨機分析的方法分別給出了債券的收益率和債券定價的計算公式，結合國債規模的一元回歸模型，仔細分析了我國政府年度舉債規模的發展變化，研究我國國債規模及相關政策的演變，並就國際流行的衡量國債規模的經驗指標進行了定量分析，由此進一步與西方發達國家進行比較，得出我國現階段國債的發行規模是適度的，但進一步增大發行的空間不大，為避免財政風險，發行規模應逐漸減小，積極的財政政策應在適當的時機逐漸淡出。
  3. In this dissertation, the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied, in succession the clutter suppression technologies have been researched. firstly, the classic nonparametric algorithm has been analyzed in detail and systematically, for it ’ s weakness that it cannot remove the non - stationary clutter ideally, kalman filter algorithm for clutter suppression in 2d image signal has been built. secondly, fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm, new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression

    首先分析了經典的非參數法，對於四種具有代表性的核，從前述的三個性能評價方面做了分析和對比，指出了其速度快的優點和對非平穩圖像適應性差的弱點，針對非參數法的弱點，重點研究了對非平穩圖像適應良好的卡爾曼雜波抑制技術:建立了非平穩圖像的類自回歸模型，在此基礎上建立了二維卡爾曼濾波基礎的兩個方程:狀態方程和測量方程;建立了非平穩圖像準平穩區域快速劃分演算法:基於四叉樹法的有限分裂合併演算法;二維空間的基於k排序的濾波路線演算法，突破了空域濾波路線上區域相鄰的限制;在這些研究的基礎上實現了快速卡爾曼估計，實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結果表明傳統的高斯性檢驗並不適合卡爾曼估計后的殘余圖像，由此建立了殘余圖像的雙參數拉普拉斯模型，實驗表明其可以完好的吻合殘余圖像的概率密度曲線。
  4. They are agricultural productive materials price growth rate, sown area of grain crops growth rate, grain yield per area growth rate -, natural disaster covered grain areas growth rate, net grain import change rate, grain reserve change rate, population growth rate, per income growth rate, city and town population growth rate, food industry production value growth rate, year - end pig number growth rate, medical & pharmaceutical and textile industry production value growth rate, grain marketization degree, inflation rate using the previous year as base year ( preceding year = 100 ), public grain purchases price growth rate, investment in agricultural science and technology growth rate, investment in agricultural infrastructure growth rate, growth rate of graduates number from agriculture, forestry, science & technology universities and colleges and specialized secondary schools, government expenditure for agriculture and agricultural credit growth rate, international grain price growth rate, rmb exchange rate growth rate, last grain price growth rate, economic crop price growth rate, meanwhile, a new method is attempted to be used in this paper and the grain price early - warning problem is transformed into machine learning problem by introducing statistic learning theory and svm method which are gaining popularity in machine learning field at present in the world

    在此基礎上，篩選出23個警兆指標：農用生產資料價格增長率、糧食播種面積增長率、糧食單產增長率、糧食受災面積增長率、糧食凈進口量變化率、糧食儲備變動率、人口增長率、人均收入增長率、城鎮人口增長率、食品工業產值增長率、豬年末頭數增長率、醫藥紡織工業產值增長率、糧食市場化程度、以上年為基年的通貨膨脹率、國家糧食定購價格增長率、農業科技投入增長率、農業基礎設施投入增長率、農、林、科技高校大、中專畢業生人數增長率、財政支農資金比重及農業信貸增長率、國際糧食市場價格增長率、人民幣匯率增長率、上期糧食價格增長率、經濟作物價格增長率。同時論文在預警方法上作了新的嘗試，把糧食價格預警問題轉換成一個機器學習問題，引進當前國際上機器學習領域中比較熱門的統計學習理論和支持向量機方法，用順序回歸演算法對歷史數據進行學習建立了糧食價格預警模型。
  5. Based on the review of the evolutions of stock indices and the innovations of index products, this article discussed the different methods of index replication, and then sum med up those researches on different methods, arithmetic models and their implications, including quadric programming, lineal programming, robust regression, monte carlo simulation and genetic algorithm, etc. aiming to give a technical reference for index derivatives design, index arbitrage, and indexing investment

    摘要在回顧證券價格指數演變及指數衍生品創新的基礎上，探討了指數復制的不同方法，進而從文獻綜述的角度對證券價格指數復制中涉及到的方法與演算法模型進行整理，總結了二次規劃、線性規劃、魯棒回歸、蒙特卡洛模擬以及遺傳演算法等不同方法與模型的具體應用，為指數衍生品產品設計、指數套利以及實施指數化投資策略提供技術參考。
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