learning of structure 中文意思是什麼
learning of structure
解釋
構造學習-
The westernization movement office - holder ' s thought - " chinese learning as fundamental structure, western learning for practical use ", and yung wing ' s thought - " total westernization " were the two coexistent guiding ideas running through the process of chinese children studying in the u. s. a. they formed an incisive ideological and cultural proposition in modem china as well
貫穿于整個留學過程中的兩條不同的思想路線? ?洋務派的「中體西用」和容閎的「全盤西化」又是中國近代歷史上深刻的思想文化命題，從而昭示出近代社會發展的深刻哲理。 -
With the wide application of information technology, the new concept of " education serves learning " has already been rooted in the hearts of people. the educational structure will turn from a dominator to a server
隨著信息技術的廣泛應用， 「教育為學習服務」的新理念已深入人心，教育結構會逐漸由主導者變為服務者。 -
On the structure of students ' epistemological beliefs about learning
論學生學習觀的結構 -
Chapter 2 focuses on weight learning and structure learning of multi - layer feed - forward neural networks
主要研究前向神經網路的權值學習和結構學習方法。 -
It is necessary to optimize and perfect mathematics structures in mid - school mathematics teaching. viewing from general process, mathematics study is a process in which new learning contents and original mathematics structures act on each other and a new structure is then formed. viewing from meaningful study theory, any knowledge that students have learned is not fragmentary or isolated but constitute knowledge structures and build mutual relations between knowledges ; viewing from information - processing theory, we can improve our memorizing ability of working, if we can organize necessary information into " group lump " reasonably and effectively in the form of " structure " and concentrate more information into a new " group lump ". perfecting cognitiopn structures is an effective way in which our thinking can be suited to huge and long - term memorizing ; viewing from the theory of establshment, mathematics study means that subjects are forming a net - frame between new knowledge and all other factors so as to obtain new knowledge
中學數學課堂教學中優化和完善學生的數學認知結構的必要性，從數學學習的一般過程看，數學學習就是新的學習內容與學生原有的數學認知結構相互作用，形成新的數學認知結構的過程；從有意義學習理論看，學生所學的任何知識，都不是零碎的、彼此孤立的，而應按知識之間的關系，通過不同層次來構成知識的結構，建立知識之間的相互聯系；從信息加工理論看，如果人們採用「結構」的形式合理有效地組織必要的信息，成為「組塊」 ，可以讓更多的信息濃縮進不多的組塊，從而擴大工作記憶能力，而完善認知結構是使人的思維適應龐大的長期記憶的一種有效方法；從建構主義理論看，數學學習是指主體在把新知識與多方面的各種因素建立聯系的過程中，建構新知識與各方面因素間的網路構架，從而獲得新知識的意義。 -
The application of the structural teaching model is discussed and a teaching model ? ? structural classroom teaching model on electromagnetism in the teaching of general physics is given. this model is based on the principles of education model, and the fundamental idea of structuralism of discipline and it is also the summary of teaching experience. this model uses a block diagram to summarize the knowledge structure. the knowledge structure includes concepts, theorems, laws and so on. there are three implementation steps in this model ： the first to analyse the content to teach and find the develop meat course of the subject. the second is to emphasize concepts, especially the concept of field. the last is mastering the laws, especially the connection between them. the aim of giving the teaching model is to deepen the teaching reforming and intensify the teaching and learning of the basic knowledge of physics
以教育模式的基本原理及學科結構主義的基本思想為指導，在總結教學經驗的基礎上，對結構化教學模式在學科教學中的應用進行了深入的探討，提出了普通物理教學中的電磁學結構化課堂教學模式.該模式強調用方框圖概括知識結構，把整個電磁學的知識結構即電磁學的概念、定理、定律及電磁場的性質等概括為一張方框圖，根據方框圖制定了該模式的實施步驟為三步：第一，掌握主線，弄清脈絡;第二，掌握概念，場是關鍵;第三，掌握規律，重在聯系電磁學結構化課堂教學模式旨在深化教學改革，加強物理學基礎知識的教學和學習 -
The third part : analysis and experience learning of government expenditure in higher education from the u. s. and japan. from such aspects as capital source structure, scholarship system and government expenditure in higher education research, the author introduces the expenditure policies of the u. s. and japanese government in high
第三部分美日兩國政府高等教育支出的分析與經驗借鑒從高校資金來源結構、助學體系、高等教育科研支出政策等方面對美國、日本政府高等教育支出政策進行了介紹，並提出了幾點經驗借鑒。 -
The inductive learning of operation semantics of words structure based on referring
基於參照的對詞結構操作語義的歸納學習 -
Secondly, based on the strong nonlinearity and learning ability of artificial neural networks, a model for calculating load effect of structure during construction is presented
其次，利用bp神經網路較強的非線性影射能力和學習功能，建立了施工期結構構件的荷載效應人工神經網路計算模型。 -
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。 -
The paper firstly combined the aerodynamic model, pollutant model, traffic model and the optimal operating fans selection model and then established the sample data gaining program to produce the optimal sample data ; secondly, the multi - layer forward neural network and the fuzzy control is combined within an equivalent structure, after the learning of sample data, the neural - fuzzy control system for the road tunnel longitudinal ventilation is produced ; thirdly, the optimal operating fans selection model is replaced by the fuzzy control model to make the tunnel ventilation simulation program, and then the control results under different traffic flow circumstances are evaluated in the matlab environment ; finally, the adaptive ability of the neural - fuzzy control system is discussed
本文首先結合空氣動力學模型、污染模型、交通模型和最優風機開啟臺數選擇模型建立樣本數據獲取程序，利用該程序產生不同交通流下的最優樣本數據；然後，將多層前向神經網路與模糊控制進行結構等價型融合，通過學習最優樣本數據，建立公路隧道縱向通風神經模糊控制系統；之後，用此模糊控制模型替代最優風機開啟臺數選擇模型建立基於模糊控制的隧道通風模擬程序，在matlab下模擬模擬不同交通流下的隧道通風以測評控制效果；最後，對神經模糊控制系統的適應性進行了討論。 -
The simulation results indicate the capability of genetic algorithm in fast and steady learning of neural networks, guaranteeing a global convergence and overcoming some shortcomings of traditional error back propagation algorithms, meanwhile prove that this neural networks adaptive control structure is effective to many control problems and it is easy for us to programme and employ the method in the practical system
模擬結果表明遺傳演算法能夠快速穩定地學習神經網路，保證全局收斂西安理工大學碩士學位論文並且能夠克服傳統誤差反傳演算法的一些缺點，也證明了這種神經網路自適應控制結構可以有效解決系統中存在的控制難題，同時編程容易，便於在實際系統中應用。 -
Introduced the structure of bp network, analyzed the principle of prediction with bp network, pointed out that the learning of bp network is fitting of interpolation, discussed the condition of prediction with bp network, and validated it with example
摘要介紹了bp神經網路的結構，分析了神經網路預測原理，指出神經網路是內插值，討論了可應用神經網路進行預測的條件，並通過實例進行了驗證。 -
During mathematics learning of the first grade junior middle school students, it can foster students " varied mathematical abilities by cultivating good cognitive structure mathematics
在初一學生數學學習中進行良好認知結構的培養能培養多種數學能力。 -
Have analysed and researched the application result of studying design of subject - based learning web station through the investigation method of the questionnaire and interview, the design method of self - regulated learning of subject - based learning web station was raised based on five respects of getting more perfect setting - ups knowledge structure system, designs clear study goal, set up teacher learning guide, design clear navigation tactics, make studies the self - appraisal system, etc. and has pointed out the question that should be paid attention to
通過問卷調查法與訪談對專題學習網站自主學習的設計的應用效果進行了分析研究，從建立完善的知識結構體系、設計明確的學習目標、設立教師導學模塊、設計清晰的導航策略、生成規范的自我評價系統等五個方面提出了基於專題學習網站自主學習的設計方法，並指出了應注意的問題。 -
The first chapter analyzes the existing problem of agent and presents the meaning and content, which this paper confined to ; the general structure, mobile agent platform and key technologies and researches of specifications are given in the second chapter ; the paper attaches more to intelligence model of mobile agent, migration plan, training and learning of mobile agent, migration strategy based on correlation, migration strategy based on correlation and neural network in the third chapter4 ; in the fourth chapter we give simulation experiment based on above migration strategy and analyze the experiment result ; the last chapter sums up the researches of this paper and the unsettled problems
最後簡要總結論文的主要工作，並提出今後要做的工作。本文共分五章。第一章分析現有agent存在的問題，提出本文研究內容與意義；第二章概述了agent 、移動agent平臺及關鍵技術、規范的研究情況；本文重點在第三章討論了移動agent智能遷移模型、 agent遷移計劃、 agent學習與訓練，基於相關分析agent遷移策略，基於相關分析與神經網路agent遷移策略；第四章對提出的agent遷移策略進行模擬實驗並分析實驗結果。 -
This paper roughly states the theoretical basis of the teaching - studying basis of classification and mobile classes. with the instructions of the theory of structure learning, the theory of multi - intelligence and the theory of teaching in accordance with students " aptitude, the author carries out research and exploration into the teaching practice of level c students in the classification, who are slow in learning. it mainly does some research on some principles, strategies and some teaching modes of level c in order to excavate the potentiality of different levels of students, improve students " comprehensive quality, foster students " initiative and then promote students " individual development by chemistry teaching
本文從建構主義學習理論、多重智力理論及因材施教理論方面初步闡述了對分層流動走班教學的理論依據，對分層流動走班教學c層班（學習困難學生）的教學實踐進行探索和研究，主要研究了c層班的教學原則、教學策略及教學模式，以期通過分層教學挖掘不同層次學生潛力，通過化學教學提高c層學生的綜合素質，培養學生的學習主動性，促進學生的個性發展。 -
Afterward, the discussion of learning technology structure and resources construction standardization is conducted
然後，對學習技術構架與教育資源規范進行了探討。 -
The dissertation first establishes the framework of coupling km with npd talents management. by analyzing the three possible relation modes between km and npd talents management, the coupling relationship is justified. according to actor - network theory, the dissertation offers an evolution model of enterprise ' s npd capability and a process model for coupling km with npd talents management oriented to competitive advantage, based on which the key coupling domains ( kcds ), namingly knowledge structure and identification, organizational integration of knowledge, knowledge sharing, internal and external learning of knowledge, are targeted
論文首先構建了知識管理與產品開發人才管理的耦合體系，主要是：分析了知識管理與產品開發人才管理的三種可能的關系模式，明確了知識管理與產品開發人才管理的耦合關系；給出了基於參與者網路理論的企業產品開發能力的演化模型，提出了面向競爭優勢要求的知識管理與產品開發人才管理的耦合過程模式，確定了知識管理與產品開發人才管理的關鍵耦合域：知識的結構及識別、知識的組織整合、知識共享、知識的內部學習和外部學習。 -
The process and conclusion of the positivist research to the learning team structure and team effectiveness provides the instrumental framework for our enterprises
本研究對我國學習型團隊結構和團隊效能關系的實證研究的過程和結論給企業提供了一個可操作性的框架。
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