數學學習理論 的英文怎麼說
中文拼音 [shǔxuéxuéxílǐlún]
數學學習理論
英文
mathematical learning theory-
The focm workshop on learning theory supports and promotes research on foundations of computational mathematics
計算數學學習理論討論會支持和促進計算數學基礎研究。Basing on the statistical inaming t ' heory ( slt ), the thesis discusses the svm problems in linearly separable case, lineariy non - separable case and non - linear separable case, and induces a convex quadratic programming ( qp ) problem with an equation constrain and non - equation constrains. then one program on solving the op problem is proposed
概述了統計學習理論的主要內容，推導了支持向量機方法在文本線性可分、線性不可分和非線性可分情況下實現分類的數學公式，將學習問題轉化為一個在等式約束和不等式約束下的凸二次優化問題，總結了求解的過程。Research on the present of learning strategies in senior high school biology is less
大多數生物學學習策略的研究，是對一般學習策略理論的直接引入，不能融會貫通。By studying the process of information process and meanful theories of leaning, we think the formation of pd in ml learning has its reason
通過對信息加工過程與有意義學習理論的研究，我們認為數學語言學習的心理偏差有它的形成機制： 1It combines two remarkable ideas : maximum margin classifiers with low capacity and therefore good generalization, and implicit feature spaces defined by kernel function. theoretically underpinned by these ideas, svm can overcome the curse - of - dimensionality and over - fitting problems elegantly. due to its remarkable performance on many applications, svm is receiving increasing attention now
支持向量機是基於統計學習理論的結構風險最小化原則的，它將最大分界面分類器思想和基於核的方法結合在一起，表現出了很好的泛化能力，並且可以有效地克服維數災難和過擬合等問題，因此受到越來越多的研究人員的關注。An effective macro - theory for learning mathematics in university is given
摘要論述了一套有效的宏觀數學學習理論。The paper wants to outline the learning theory of mathematics with the constructivism mainly through studying the correlated documents and data
本文試圖初步構建起建構主義觀點下的數學學習理論，主要採用資料和文獻研究的方法。Pedagogy and educational psychology are the guiding theory of this research. in terms of the preceding situation this thesis, on the basis of inspecting the corresponding learning difficulty research, uses the questionnaire, analyzes the cause of mathematics learning difficulty according to the students ' questionnaires of some high schools in yongzhou, generalizes the mlds ' s affective characteristics and argues the relevant objective of affective cultivation and its corresponding tactics
本文即針對這種情況，以教育學習理論、教育心理學為指導，在考察了國內外已有的研究基礎上，採用問卷調查的方法，對永州市幾所高中進行了抽樣調查和分析，從中概括出了高中數困生的情感特徵，並由此提出了相應的情感培養目標及其教育對策。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。This essay expounds the structure and the functioning mode of self - regulated learning abilities in maths learning processes. in the light of the theory of self - monitoring learning ability cultivation in maths learning processes and zimmerman ' s cyclic model of self - regulated learning, the author had undertaken several practical experiments in order to explore the possibilities of improving students " maths learning abilities through training of self - monitoring abilities
本文，闡述了數學學習過程的自我監控學習能力的結構、作用模式，根據數學學習過程的自我監控學習能力的培養理論與齊默爾曼的自我監控學習循環模式，進行了實際的培養實驗，意在探討能否通過自我監控的訓練，來提高學生的數學學習能力。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。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。Modern cognitive psychology has made the abundant achievement on general study theory and practice. but direct against research of mtm learning seem too little
現代認知心理學在一般的學習理論與實踐上取得了豐富的成果，而針對數學思想方法學習的研究卻顯得太少。( 4 ) support vector machine ( svm ) is a novel powerful learning machine, which can solve small - sample learning problem better. the basic ideas of statistical learning theory ( slt ) and svm are introduced, and the characteristics of svm are illuminated
本文參考前人的工作，對統計學習理論和支持向量機的相關知識進行了介紹，分析了svm模型的特點，並對選用不同的模型和參數對支持向量機模型的影響進行了探討。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。The development of cognitive science impulses the study of mathematics learning. constructivism theory affects our native study in mathematics learning greatly. " constructivism provides the analysis to mathematics learning epistemology, to the positive study of learning psychology, it is needed or it is essential "
認知科學的發展推動了數學學習的研究，建構主義教育理論極大地影響了我國關于數學學習的研究， 「建構主義提供的是關于數學學習認識論的分析，相對于學習心理的實證研究而言，它是不可或缺的，甚至是更為根本的」 。The statistical learning theory and support vector machine have been introduced. the model selection, over - learning, nonlinear, dimensions curse and local minimum problems have been researched
介紹了統計學習理論和支持向量機方法，研究分析了機器學習方法中存在的模型選擇、過學習、非線性、維數災難和局部極小點等問題。Based on discussing the study theories of perception doctrine and constructing theoretical foundation in detail, this text is closely connected to teaching practices, from the teaching targets and content of course, course characteristics, teaching objects, the teaching software, the selection of medium information, the teaching of structural design and the system of teaching software the design thoughts of numerical controls technique about the teaching software, introducing the development of teaching software in numerical controls technique and make use of the accurate charts to display some cases about the teaching software in numerical controls technique
本文在詳細論述認知主義學習理論與建構主義學習理論的基礎上，緊密結合教學實踐，從教學目標與教學內容、課程特點、教學對象、教學軟體、媒體信息的選擇、教學軟體知識結構的設計，教學軟體的系統構成等方面闡述了《數控技術》教學軟體的設計思路，介紹了《數控技術》教學軟體的開發技術並運用精確的圖表方式列舉了《數控技術》教學軟體的設計案例，在理論與實踐相結合論述的基礎上，又探討了《數控技術》教學軟體設計的發展方向。The course should appeal to both students with general interest in computer graphics and students interested in new applications of machine learning, robotics, biomechanics, physics, applied mathematics and scientific computing
這門課程能夠引發學生對電腦繪圖及機器學習理論、機器人學、生物力學、物理學、應用數學、科學計算等新應用的廣泛興趣。In this thesis, several issues concerning the machine learning and the classification of high dimensional multispectral data with limited training samples are addressed, which are based on statistic learning theory ( slt ), support vector machine ( svm ) and artificial neural networks ( ann ). the mai n work and results are outlined as follows : 1. the characteristics of high dimensional multispectral data are studied, and the difficulties that deteriorate the performance of the traditional pattern classification algorithms are carefully analyzed
以統計學習理論（ statisticlearningtheory ? slt ） 、支持向量機（ supportvectormachine ? svm ）和人工神經網路（ artificialneuralnetworks ? ann ）為基礎，本文開展了以下幾個方面的研究工作：深入分析了高維多光譜數據的特點和傳統模式分類方法在高維多光譜數據分類中面臨的困難。分享友人