演算法學習理論 的英文怎麼說

中文拼音 [yǎnsuànfǎxuéxílǐlún]
演算法學習理論 英文
alt algorithmic learning theory
  • 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...
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  • 論 : 論名詞（記錄孔子及其門徒的言行的「論語」） the analects of confucius
  • 理論 : theory
  1. Finally, all the above theoretical results are applied to the analysis of mellituria ii and monks problems. the conclusion is encouraging after the comparison with home precious machine learning algorithms including id family and aq family

    最後將本文的理論結果應用於糖尿病病因分析和monks問題，並且把rs方法與傳統的機器學習演算法id家族和aq家族從理論上和實驗上進行了比較，在準確度和規則簡潔度等方面得到了令人鼓舞的結果。
  2. The disquisition includes choice of algorithm, accomplish of algorithm, collection of learning sample, parameter of net, shortcoming of bp algorithm, extraction and reduction form line etc. referring to shortcoming of traditional bp algorithm, a modified learning factor with adaptation is introduced. because of every different font has robust, the way based chain coded and knaggy feature is used. a bizarre sample feature database is constructed for speeding up modified bp learning and classification

    本文對人工神經網路理論進行了研究，探討了網路形式及演算法的選擇、演算法的實現、學習樣本的收集、網路參數選擇、 bp演算法缺陷、表格線提取、還原、生成及字元識別、還原生成等問題，並針對bp演算法的缺陷提出了和實現了改進型bp演算法，使網路學習效率提高，對不同人的不同字型字體有較強的魯棒性，採用了基於鏈碼特徵和凹凸分佈特徵的方法來抽取字元特徵。
  3. This article puts forward a solution named divide - assemble by deducing the size of bp neural network to overcome entering the local best point, the dividing process is that a big bp neural network is divided into several small bp neural networks, every small bp neural network can study alone, after all small bp neural networks finish their study, we can assemble all these small bp neural networks into the quondam big bp neural networks ; on the basis of divide - assemble solution, this article discusses the preprocessing of input species and how to deduce the size of bp neural network further to make it easy to overcome entering the local best point ; for the study of every small bp neural network, this article adopts a solution named gdr - ga algorithm, which includes two algorithms. gdr ? a algorithm makes the merits of the two algorithms makeup each other to increase searching speed. finally, this article discusses the processing of atm band - width distribution dynamically

    本文從bp網的結構出發，以減小bp神經網路的規模為手段來克服陷入局部極小點，提出了bp神經網路的拆分組裝方法，即將一個大的bp網有機地拆分為幾個小的子bp網，每個子網的權值單獨訓練，訓練好以後，再將每個子網的單元和權值有機地組裝成原先的bp網，從理論和實驗上證明了該方法在解決局部極小值這一問題時是有效的；在拆分組裝方法基礎上，本文詳細闡述了輸入樣本的預處理過程，更進一步地減小了bp網路的規模，使子網的學習更加容易了；對于子網的學習，本文採用了最速梯度? ?遺傳混合演算法（即gdr ? ? ga演算法） ，使gdr演算法和ga演算法的優點互為補充，提高了收斂速度；最後本文闡述了用以上方法進行atm帶寬動態分配的過程。
  4. Randomized algorithms ; learning theory ; robust control

    隨機化演算法學習理論魯棒控制
  5. Considering the one - sidedness and inaccuracy of knowledge discovery only from single - color database, an approach is proposed to discover knowledge from 1331 groups of mix - color database with partial least - square regression, based on measuring and learning 400 groups of single - color database. by this method, the mean error decreases when converting from rgb to cmyk, the precision of color matching is improved, and the automatic and general problem in color matching is further solved

    本文基於統計學習理論構造了一種快速自適應隨機搜索演算法，證明了演算法的收斂性.給出了一種簡易實用的寬帶天線匹配設計新方法.應用該自適應演算法進行天線匹配設計，不僅演算法簡單，易於編程實現;而且能夠快速設計出具有較好性能的匹配網路，非常適用於各種短波、超短波天線的匹配設計問題
  6. This thesis studies the support vector machine and multi - class classification in the statistical learning theory, and applies the support vector machine into the machine paper currency recognition

    本文主要研究了統計學習理論中支持向量機的二次優化演算法和多值分類，並將支持向量機應用於貨幣的機器識別中。
  7. Then the paper develop a refrigerant model by means of traditional bp algorithm 、 statistics theory 、 experience theory and thoroughly analyze the combination of these three methods and their predict precision. and then the paper put forward an advanced algorithm on the basis of combining the statistics theory and the problems on the traditional bp algorithm. the imitate results show that the algorithm has an ability of fast convergence speed and

    然後分別應用傳統bp演算法、全量法和增量法建立冷卻劑子模型，對三者的擬合和預報精度作了深入分析，並結合統計學習理論針對傳統的bp演算法存在的問題提出了改進的演算法。模擬結果表明該演算法具有較快的收斂速度和較強的學習能力。
  8. After introducing some basic concepts of agent 、 mas and multi - agents learning, the thesis analyses the research actuality and the future developmental directions of rl and multi - agent rl ( marl ). furthermore, the theory and related learning algorithms of them are briefly introduced. on the basis of analyses of pursuit game, aimed at the individual action learner, the thesis extends the rl algorithm for single agent, proposes the macrl - cc algorithm. finally, aimed at the joint action learner, a team - stochastic - games - based ( tsgs - based ) framework for multi - agents cooperative rl is defined

    文章首先介紹了agent和多agent系統、以及多agent學習的一些基本概念，然後介紹了強化學習和多agent強化學習的研究現狀和未來發展方向。第二部分對強化學習理論和多agent強化學習理論進行了簡要介紹。在對pursuitgame問題進行初步分析的基礎上，針對獨立行為學習者，擴展了單agent強化學習演算法，提出了基於承諾和約定的多agent協同強化學習方法macrl - cc 。
  9. This essay first dicussed the key steps of preprocessing in web log mining, which include data abstract, data cleaning, user and session identification and path completion etc. especialy we proposed the algorithm of the web log data preprocessing include frame page. and secondly we discussed the technology of building an adaptive web site, include log data cluster mining, user visiting pattern learning, site structure transformation and presentation etc. ; and we proposed indual user log visiting pattern, user model onling learning algorithm, index pages synthesising algorithm, site structure transformation and presentation algorithm and so on

    本論文首先討論了web日誌挖掘預處理中的各步驟：數據抽象、數據清洗、用戶與會話識別、訪問路徑補全，給出了每一步驟的演算法實現；並特別討論了含有frame頁的日誌數據預處理過濾演算法。其次討論了構建自適應站點技術，包括日誌數據聚類挖掘、用戶訪問模式學習、站點結構轉化與呈現等；提出了單用戶日誌訪問模型，給出了用戶模型在線學習演算法、索引頁面綜合演算法、站點結構轉化及呈現演算法等。
  10. With the development of communication, information and electronic technology and computer network, intelligent transport system ( its ) is paid more and more emphasis, it contains many parts, such as vehicle type recognition and license plate recognition. in this paper, we introduce svm to the field of its, the main work is described as follows : ( 1 ) we summarize the latest research achievements and development of its, present the conceptions of slt and the principles of svm ; ( 2 ) taking the traffic sign as examples and adopting hough transform in the stage of feature extraction, we introduce svm to the problem of shape recognition and compare the experimental results with traditional learning methods. ( 3 ) then we use svm to settle the vehicle type recognition problem, where we utilize the wavelet analysis and mathematical morphology method to extract the figure feature

    本文將支持向量機引入智能交通系統領域，主要進行的工作如下： （ 1 ）整理總結了國內外學術界關于統計學習理論方面的研究成果，介紹統計學習理論的基本概念和支持向量機的基本原理； （ 2 ）在形狀識別問題中以交通標志圖像作為實驗對象，利用hough變換進行特徵提取，在識別階段利用支持向量機方法進行分類，並與神經網路等傳統學習方法對比； （ 3 ）將支持向量機應用於車型識別問題中，針對收費站採集的汽車圖像，首先採用小波分析和數學形態學的方法提取其外形特徵，在識別階段利用支持向量機方法進行分類，並與其他傳統學習方法進行了對比； （ 4 ）將支持向量機應用於車牌識別問題中，車牌識別包括車牌定位、車牌字元分割以及字元識別三個步驟，先採用數學形態學方法對車牌區域進行定位，然後採用top - hat變換等方法分割車牌字元，在識別階段採用支持向量機演算法進行字元識別，取得了較為滿意的結果。
  11. 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。
  12. Support vector machine ( svm ) based on the statistical learning theory is a new approach and research field in machine learning because of its advantage such as firm mathematic theory foundation, strict theory analysis, complete theory, global optimization as well as good adaptability and generalization

    基於統計學習理論的支持向量機演算法具有堅實的數學理論基礎和嚴格的理論分析，具有理論完備、全局優化、適應性強、推廣能力好等優點，是機器學習中的一種新方法和研究新熱點。
  13. This paper combines learning theory with robust control and discusses robust control design problems involving real parameter uncertainty in control systems based on randomized algorithms

    將學習理論與魯棒控制相結合，採用隨機化演算法針對實參數不確定系統討論了魯棒控制器的設計問題。
  14. Statistical learning theory ( slt ) is based on the structural risk minimization ( srm ) principle, and it is a new set of theory system, which specially aims at machine learning issues under the circumstances of small - sample. based on this slt, supporting vector machine ( svm ) method has been developed as a new machine learning algorithm and also practical applications of slt

    統計學習理論建立在結構風險最小化原則基礎上，它是專門針對少樣本情況下機器學習問題而建立的一套新的理論體系，支持向量機就是在統計學習理論這一基礎上發展起來的一種新的機器學習演算法，它是統計學習理論的具體應用。
  15. Based on analysis of the conclusions in the statistical learning theory, especially the structural risk minimization and the - insensitive loss function, a novel linear programming support vector regression is proposed

    摘要通過對統計學習理論中的支持向量回歸問題，特別是結構風險問題和-不敏感函數的分析，得到了一種新的支持向量回歸演算法。
  16. Based on the analysis of the learning theory and instructionual design, we understand the procedure and regulation of learning, recognizing how to improve the learning environments and instructional procedure, so our its could implement on a better pedagogy theory ; presented in xml, the subject knowledge could be more suitable to be manipulated by computer tutor, to develop an individual learning environments. auto - generating paper is a constrained multi - object optimization problem, this paper presents a way based on genetic algorithm ( ga ) to solve the problem, and discuss how to choose an individual coding to improve the efficiency of ga according the problem ; when establishing the student model, we consider the mental factor as well as the cognitive factor

    基於對學習理論和教學設計的分析、總結，了解了人類學習活動的過程和內在規律，以及如何優化學習環境和教學過程，從而使智能教學系統建立在先進的教育理論基礎上；基於xml技術的學科知識表示，使它更便於計算機導師進行加工，形成個性化的學習環境；自動組卷是一個帶約束的多目標優化問題，本文提出通過遺傳演算法來解決，並分析了如何根據實際問題選擇個性化的編碼方案，提高遺傳演算法的效率；在建立學生模型時，除了考廣西大學碩士論文基於web的智能教學系統的研究慮認知因素還考慮了心理因素。
  17. Svm is a kind of universal learning algorithm, which developed from statistical learning theory, that is, small sample learning theory proposed by vapnik. it can represent complicated functions especially in high dimensions, which can avoid the trouble of the dimension tragedy that happened in general algorithm. it also will not affect the system performance by using original data of the array for the eigenvector directly

    支持向量機是由vapnik等人提出的小樣本統計理論? ?統計學習理論發展而來的一種新的通用學習演算法，特別在高維空間中表示復雜函數，避免了常規演算法「維數災難」等麻煩問題，可直接用陣列原始數據作為特徵向量而不影響系統性能。
  18. The research in this paper offers a new way to design programming icai platform and help to extend and apply par method. innovation and characteristic of the platform as follows : 1, focus on programming theory and improvement of the learner ' s programming ability 2, enable heuristic teaching, teach learners in accordance of their aptitude 3, introduce algorithm with the help of simulation based on java mud - thread 4, learners can get the outcome of program using auto program transform software, such as apla - c + +, apia - java 5, easiness to extend and migrate and to transform to network based icai platform

    文中實現的教學軟體平臺的創新點與特色主要有： 1 、以程序設計理論和方法學為主要內容，注重學員程序設計能力的培養， 2 、結合學習理論，對教學內容進行啟發式教學，針對不同能力的學生做到「因材施教」 ； 3 、具有java多線程的模擬演示功能，形象地介紹演算法原理， 4 、實現了與apla - c + +等程序自動轉化器的銜接，學員可立即得到執行結果， 5 、軟體可擴充性、可移植性強，易於轉化為網路化教學平臺。
  19. 1 ) the basic theories used in this thesis were introduced, including machine learning, kernel machine, statistical learning theory and regularized theory

    介紹了機器學習和kernel學習機基本理論。介紹了kernel演算法的通用結構、 mercer定理及映射函數。介紹了統計學習理論和正則化網路的理論。
  20. In the first chapter of this paper, a comprehensive survey on the research of reinforcement learning algorithms, theory and applications is provided. the recent developments and future directions for mobile robot navigation are also discussed

    本文的第一章對增強學習理論、演算法和應用研究的發展情況進行了全面深入的綜述評論，同時分析了移動機器人導航控制的研究現狀和發展趨勢。
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