complex learning 中文意思是什麼
complex learning
解釋
復合型學習-
Using the learning community technology, the author constructed a learning model of thematic learning community on internet among middle schools. then choosing several complex concepts - air temperature, light shadow, light pollution from middle school physics book as learning topic, the author carried out two turns of action research in several middle school class in different areas
本研究以初中物理為實踐學科，選取了「氣溫」 、 「光影」 、 「光污染」等幾個復雜概念作為學習主題，以行動研究的方式，在不同地區的幾所8年級中學生中開展了為期8個月的兩輪應用研究。 -
Yao nai ' s complex with song learning and his bearing
姚鼐的宋學情結與文章風度 -
The specific application and experimental results in soccer robot system prove the feasibility and validity of the learning technique in complex adversarial systems. robots " intelligence level can be unproved through the use of this intelligent learning method
機器人足球比賽的環境是一個動態、復雜、對抗的環境，並且每個機器人只能得到場上的不完全信息，如何使機器人能通過不斷的學習提高自己的性能是開發足球機器人系統的關鍵內容。 -
Based on this kind of relations between the topological structures and the content distributions we study the web modelling, community identification and some related application problems in detail : first, after some existed characteristics of the web topology are verified, some new characteristics are discovered : the high clustering property in micro - topology ( high average gathering coefficient ), the obvious mapping relation between the topological struture and the content in micro - level 、 linear irrelevant between the degree distribution of network nodes and the relative degree distribution of contents etc. then after analysis the topology of the complex network and the network modeling, the muti - scale determinism is proposed, especially for the information network a web evolvement model ( prcp model ) that fused the node authority and the node correlation is proposed. the model deduction, evolving learning verification and large scale experiment proof indicate that the model can explain the micro - topology centralizing phenomena, can imitate the mapping relation between the network connecting distribution and network content relative distribution and also can predict the mapping relation between the topology clustering and content clustering
本文在詳細觀察了web網路的拓撲結構特徵以及拓撲結構與內容分佈相互關系的基礎上，以信息網路的物理連接拓撲結構與節點內容相關度分佈之間的相互關系為主線，從網路特徵、網路建模、社區分析及相關應用方面問題進行了深入細致地探討:首先在驗證了前人提出的web網路拓撲結構特徵基礎上，進一步發現了信息網路所具有的一些新特徵: 1 ）網路微觀顆粒度的拓撲結構聚團與內容聚團存在明顯的映射關系，具體包括節點之間的物理連邊概率與節點之間的內容相關度成指數比例關系、節點形成三角形拓撲結構的概率與節點內容相關緊密程度之間同樣具有一種指數比例關系; 2 ）網路節點連接度整體分佈與節點內容相關度整體分佈是線性無關的; 3 ）網路微觀拓撲結構中的存在很強的集聚性（平均聚團系數很高） 。 -
This paper, aiming at an effective prediction for exploration benefit and resources potentiality in the complex petroleum exploration region, establishes a prediction model which includes technical progress and learning effect
摘要為了對復雜油氣探區的勘探效益和資源潛力進行有效的預測，本文建立了考慮地質認知和技術進步等因素影響的勘探效益預測模型。 -
The soccer robot system is a dynamic environment with multiple obstacles. it is a problem of high complexity to perform path planning in such environments. the traditional methods are not efficient in such complex environments. in this paper, a self - learning method of robot navigation is proposed based on the reinforcement learning method and artificial potential field method
本論文將增強式學習演算法和人工勢場法相結合，提出狀態評價函數和勢場的對應關系，以及控制策略和勢場力方向的對應關系，通過機器人的自適應學習，來形成優化的人工勢場，使機器人能夠以最短路徑繞過障礙，到達目標。 -
An experienced human operator may have little knowledge about a complex system but can still doing good job in system control and fault diagnosis by observing signals of inputs and outputs. therefore, the problem is, can we use some techniques of machine learning and artificial intelligent to mimic the human ability of " learn to control "
在實際工業生產中，工程技術人員在對系統機理和數學模型知之甚少的情況下通過觀察和經驗總結，仍然能夠對系統進行良好的手動控制和及時的故障診斷，因此完全可以採用機器學習的智能方法模擬人的這種通過觀察學習進行控制的能力。 -
Fixed thoughts also make an inactive effect to the learning of the mathematics conception. let " s take real number and complex number as an example to make it clear
數學概念的學習還受思維定勢的負作用、知識的負遷移和學生記憶力的影響，並以實數、復數為例，進行了論證。 -
This paper findings taiwan ' s agriculture needs to strive for the survival also to strive for the progress, the learning organization condition is contends with the treacherous changeable and complex social environment, the penetration organization unceasingly learning and study and the knowledge conduction steps to the learning organization concept, penetration study and learning the knowledge and the technical union then is the growth, progresses, seeks livehood and the road of makes again best knowledge economy time manifesting and represent
同時在學習與投入外銷知識運作的歷程面向中，本研究從主體者的立場形構出他們對于蓮霧外銷過程的投入動機與看待外銷的迫切性及功能的觀念；而在蓮霧的價值意義方面，也歸納出一些層次與不同面向的整體普遍價值感。 -
We apply various methods including lectures, tutorials, practicals, web - based teaching and learning, field study, and student - based independent research in our teaching. the objective is to cultivate independent learning, critical thinking, data collection and analysis, and the ability to solve complex problems related to the environment, resources, and urban and regional development
學習形式多樣化，除授課外，尚包括小組導修、網上教學、野外實習、境外考察與個案研討，旨在培養同學獨立思考、搜集、分析資料和解決環境、資源、城市與規劃等復雜問題的能力。 -
Accumulating evidence indicates that nmda receptors are involved in many complex physiological and neuropathological mechanisms, such as neuronal developmental plasticity, long - term potentiation ( ltp ), learning and memory, excitotoxicity and neurodegenerative diseases etc. three gene families that encode nmda receptor subunits have been identified : nr1, nr2a - d, and nr3 subunit
已知nmda受體與許多復雜的生理和病理機制有關，如突觸的可塑性、長時程增強作用（ ltp ） 、學習和記憶、興奮性神經毒性、神經退行性變性疾病等。已克隆到3個編碼nmda受體亞單位蛋白的基因家族，即nr1 、 nr2和nr3 。 -
Fnn efficiently maps the complex non - linear relationship of training data for its automatic learning, generation and fuzzy logic inference
模糊神經網路具有很強的自學習、泛化和模糊邏輯推理功能，可以有效地映射出訓練數據之間復雜的非線性關系。 -
Neural network not only has the ability of dealing with complex pattern, associating, extrapolating and memorizing, but also has strong ability of self learning. it can catch up on the fault that heuristic rule can ’ t make diagnosis conclusions because of its noncompleteness. so neural network is appropriate to the fault diagnosis systems
神經網路不但具有處理復雜模式及進行聯想、推測和記憶功能，而且還有很強的自學習能力，能克服由於啟發式規則的不完備而無法做出診斷結論的缺陷，因而它非常適合應用於故障診斷系統。 -
On the basis of the theory and knowledge of many learning branches such as fractal geometric, the percolation mechanics, the reservoir engineering, mathematic and physic method, numeric analysis method, compute graphic procession method, software engineering analysis method and so on, this thesis based on the developed research work, concludes the following a few facets to the unsteady seepage flow mathematical models in the pressure - sensitive deformable double media fractal reservoir. fractal geometric theory and method are good approximations to describe the complicity and we can more easily analyze all kinds of the pressure - sensitive deformable double media fractal complex reservoir relatively than others
本文綜合運用分形幾何理論，滲流力學理論，油藏工程方法，數學物理方法，數值計算，計算機圖形處理技術，軟體工程的分析方法等方面的理論知識和應用技術，在已有研究成果的基礎上，對分形油藏作了以下幾方面的研究：一-一- -絲竺絲型進些絲燮竺鯉絲竺塑望絲些些竺色? （ l ）以m厄仃en一root模型為基礎，引入分形參數d了、 0和壓縮系數。 -
The forming of brand loyalty is a complex course, which can be explained with expectation utility theory, satisfaction degree theory and stimulation - reaction learning theory
顧客品牌忠誠的形成是一個復雜的過程，可以用期望效用理論、滿意度理論和刺激反應的學習理論來解釋。 -
Teaching and learning constitute a field of study as vast and as complex as any other.
教學體制本身構成了一整套按其廣度和復雜性來說決不亞于其他學科的研究領域。 -
Th e whole learning process embodies the rules of the lpp theory on the one hand, on the other hand, it integrates learning contents, real activities and information technology by focus tasks of the complex concepts
這個過程不但充分體現了正規周邊參與的機制，還通過包含復雜概念的焦點任務使學習內容、真實活動、信息技術這三者深入整合。 -
It uses techniques from rule - based reasoning systems, finite state automata, and machine learning to orchestrate complex tasks in a form it calls recipes
它使用基於規則的推理系統，有限狀態自動調節器以及機器自我學習等技術，以一個稱之為配方的形式來安排各種復雜的任務。 -
In this type of learning ? constructivist or situated learning, reinforcement is the internal satisfaction that comes from understanding new activities i. e. the apprentice is able to adapt existing knowledge structures to the new task and build on that knowledge to shape a greater more complex understanding
在這樣系統化的學習過程中學徒們可以持續學習實踐並加強自己的能力，很多學徒就可以把現存知識運用到新的工作中，並進而理解和完善所學的知識。 -
Import the concept of learning object into the model, treat each level of the model as learning object. define knowledge point as simple learning object and the other two level is complex learning object. we try to enhancing the reusability and interoperability of course by using the characteristic of learning object
在整個模型中引入學習對象概念，將每一層都看成是學習對象，定義底層的知識點為元學習對象，其餘兩層為復合型學習對象，嘗試藉助學習對象的特性來提高課程的重用性、互操作性。
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