adaptive and learning system 中文意思是什麼
adaptive and learning system
解釋
自適應學習系統-
This paper adopts an adaptive learning algorithm based on hierarchy clustering to update user profile, which continuously abstract the cancroids of one class of optimum information from the feedback flow of system, which effectively shield the learning process from plenty of feedback noises produced by distorted threshold and sparseness of initial information, which also can imitate artificial feedback approximately to perfect the intelligence of adaptive learning mechanism
摘要本文採用一種基於層次聚類的自適應學習策略，從系統反饋的信息流中，動態提取一類最優信息的質心更新用戶模型，有效屏蔽了閾值失真和初始信息稀疏造成的大量反饋噪聲，並且能夠近似模仿人工反饋，完善自適應學習機制的智能性。 -
At the same time, the diophantine matrix equation is closed, which has strengthen the velocity of control, so the rapid system ' s control is got ; in addition, because the synthesis solution with artificial intelligence technology and adaptive control technolo - gy together is adopted, the whole loop system ' s ability of learning and adaptation is strong and the system ' s intelligence level is impro - ved, so the robustness ability is got
因此加快了控制速度，較好地解決了控制系統的快速性問題；另外加之此控制方案採用了人工智慧技術和自適應控制技術相結合的方法，增強了整個閉環控制系統的學習能力和自適應能力，提高了系統的智能水平，從而使閉環系統具有了強魯棒性的特點。 -
Expert system has many merits. it has the ability of heuristic illation, and can explain for illation and append new knowledge in the knowledge database. but it also has obvious shortcomings, such as, poor ablitity in ka ( knowledge achieve ), inefficient and incomprehensive. the artificial neural network has the ablitity of parallel processing, associative memory, distributed storage of knowledge and high robust etc. it also has perfect characteristics of self - organizing, self - adaptive, self - learning. it specializes in visualize ideation but is short of logic ideation
專家系統在故障診斷領域得到廣泛的應用，專家系統具有許多優點，能利用專家的知識進行啟發式推理，能夠解釋其推理過程，並能夠不斷地、靈活地增加新的知識。但專家系統也存在明顯的缺陷：獲取知識能力差、效率低、范圍窄。可以說專家系統長于邏輯思維缺乏形象思維。 -
During the procedure of system design and implementation, the author has made some innovative efforts such as : ( d establishing the user interest orientated model, the model receiving user interests continuously and conjecturing user interests by interaction with the user, accumulating user preferences in information demand, thereby achieving self - adaptive retrieval, ? roviding a feedback method which is based on the human - machine interaction, summarizing the user operations on the interface of result presentation, and designing an algorithm for capturing user operation behaviors, by which the changes in user interests and preferences can be learned potentially, ? ffering a method for user interest mining which can extract subjects of information confirmed by user, thereby conjecturing or predicting different kinds of expressions of the same interest or extracting the new interests or unexpressed interests, ? roposing a solution of personalized internet information retrieval based on the user interests in accordance with the above - mentioned work, the solution having very strong feasibility and practicality with taking user interest model as center, employing machine learning ( active learning and passive learning ) and data mining as tools, and being assisted with network robot,
Piirs系統分析與設計過程中所做的創新性的嘗試主要有以下幾個方面：實現了基於用戶興趣的用戶模型，該模型通過與用戶的交互（主動交互和被動交互） ，不斷地接收用戶的興趣和推測用戶的興趣，積累用戶信息需求的偏好，實現自適應的檢索；提供了一種基於人機交互的反饋方法，對用戶在結果呈現界面上的操作進行了歸納總結，設計了用戶操作捕獲演算法， 「隱性地」學習用戶興趣和偏好的變化；提供了一種用戶需求挖掘的方法，對用戶已確定的信息做進一步的主題挖掘，由此推測或預測用戶同一興趣的不同表述方式或者挖掘出用戶新的或未表達出來的興趣；在上述工作基礎上提出了一套完整的基於用戶興趣的個性化網路信息檢索的解決方案，該方案以用戶興趣模型為中心，以機器學習（主動學習和被動學習）和數據挖掘為手段，輔以網路機器人，具有很強的可行性和實用性。 -
After analyzing the limitation of the web - based learning assistant system in china and integrating the present level of internet, this research puts forward and then creates a web - based intelligent learning assisted system - ilas with the direction of the theories such as constructivism, adaptive learning and software engineering which is for teachers and students and realize the combination of individual, adaptive and interactive group learning
本課題研究在詳細分析了當前國內網路學習幫助系統存在的主要缺陷后，結合internet的實際發展水平，在建構主義學習理論、適應性學習理論和軟體工程學理論的指導下，提出並實現了一個基於web ，面向師生，以實現個別化學習，適應性學習與互動式群體協同學習相結合的，並具有初步智能的學習幫助系統? ? ilas 。 -
In the respect of neural networks control for non - linear and uncertain system, a review of some available control strategy is made. combining neural networks control and conventional control strategy supervised learning, no supervised learning and reinforcement learning neural networks self - studying and adaptive control systems for ship course control are proposed. the thesis studies particularly their characteristics
在非線性和不確定性系統的神經網路控制方面，論文總結了一些現有的神經網路自學習控制系統，然後將神經網路和常規控制（例如pid控制、自適應控制、內模控制等）結合起來，根據船舶操縱的特點，詳細研究和分析了有監督學習、無監督學習和再勵學習的船舶航向神經網路自學習型自適應控制系統。 -
Avoiding the use of mathematic models, the fuzzy logical control ( flc ) system meets the control demands of the tunnel ventilation process well which is a nonlinear distribution system. but because of its lacking of learning and adaptive ability, many problems has emerged when using flc : the membership functions of the fuzzy variables cannot be changed, the fuzzy logical rules cannot be modified automatically when environmental variables such as traffic model, average exhaust, etc, are changed. for this reason, the paper uses fuzzy neural network control ( fnnc ) system to improve the control process
模糊控制系統避開了數學模型，能很好適應公路隧道通風系統非線性和分散式參數特徵，但是模糊控制系統本身的學習和適應能力差，導致了模糊變量各語言值隸屬函數和控制規則不能隨著環境參數（如交通量、基準排放量等）的改變而自動調整和修改等問題，本文將具有強大學習能力的神經網路融合到模糊控制系統中，研究和探討了隧道通風模糊神經控制方法。 -
The control theory of chaotic dynamical system mainly contain learning control with distal teacher, adaptive state feedback control, sliding - mode synchronous control and passive equivalence control, with which we can realize the stable control of chaotic system
針對連續混沌動力學系統，採用遠程學習控制、自適應狀態反饋控制和滑動模態同步控制以及等效無源控制等控制策略，實現連續混沌動力學系統的快速穩定。 -
I introduction : describes the disadvantages of learning system based on web. then brings forward that it is necessary to design and develop adaptive learning system based on web, and claim that adaptive learning system should provide with five basic functions
全文分為六部分，具體安排如下：第一部分引言：分析當前基於web的學習系統存在的弊端，提出了開發基於web的適應性學習系統的必要性，概括了基於web適應性學習系統應該具有的基本功能。 -
The performance of human - human iulvjiuui - jju uiccifacx : jirccily iffccis the quantity and efficiency of karalng. the existing human - human interaction interface and adaptive system ca n ' t offer enough cooperative awareness what cooperator need. their disadvantages are as follows : 1, without analyzing the characteristic of web - based learning, the existing adaptive system is limited in some ways
人-人交互界面的好壞直接影響到協作者學習的質量和效率，而現有的人-人交互界面不能充分支持協作者之間所需的協同感知，一些自適應機制也沒能突出這一特點，主要表現在以下幾方面： 1 、缺乏對網路化學習這一特定領域的分析，自適應機制存在一定的局限性。 -
In the constructing of the diagnosis module using the technology of the combination of the fuzzy logic and neural network, which based on the fuzzy adaptive learning control network, a simple kind of capable method for consummate the structure and performance of network is introduced, which includes the rules extraction based on the maximum weights matrix and the parameters amendment based on genetic algorithm by floating - point coding. during the monitoring of the parts condition, the output of the condition monitoring system shows the good working condition of the executing agency by fuzzily deducing from the control instruction send by the auv ' s controller and motion status, and so offers the proof to complete mission and return safely
在珍斷模塊建模中採用模糊邏輯與神經網路結合的技術，以模糊自適應學習控制網路為核心，提出了一種簡單可行的基於最大權值矩陣的規則提取及基於浮點數編碼的遺傳演算法的參數調整的，完善網路結構與性能的方法，並在狀態監測過程中，通過對由控制器輸入的水下機器人運動控制量以及運行狀態的模糊推理，得到執行部件（推進器或舵）的工作狀態優劣程度，為保證水下機器人完成任務，安全返回提供控制依據。 -
It defines the connotations and functions of corporate culture and analyses the culture of successful enterprises and those defeated, holds that the culture of adaptive growth is an ecological system of culture made up of ethic ones, adaptive ones, speed ones, creative ones and learning ones
本文給出了企業文化的內涵與功能，分析研究了失敗與成功企業的文化，提出企業的適應性成長文化是由組織的倫理文化、適應性文化、速度文化、創新文化和學習文化等構成的文化生態體系。 -
In this thesis, firstly, we give an introduction and analysis to the complexity adaptive system and artificial life which are the mainstream research harvest currently. secondly, we provide a supplement to some theory include stream, diversity and adaptive agent. at last, on the basis of the theories, we complete a validating to the nature selection and heredity variance in computer, a basic conceiving about learning species and a validate model of the theories of the origins of currency and price equilibrium
本文對這方面最主流的研究成果復雜適應系統及人工生命的研究工作作了分析與介紹，並就其中的流、多樣性、適應性主體等理論作了自己的補充，最後我們結合對這些理論的認識，完成了自然選擇及遺傳變異的初步驗證、學習物種的基本構思、貨幣產生及市場價格均衡理論驗證的模型構建，在後續的工作中，我們除了繼續未完成的工作外，還將添加許多新的理論驗證。 -
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。 -
In order to overcome the chattering phenomenon, a new approach with saturation boundary layer and adaptive variable structure control with twin - neuron ( avsct ) is proposed. the neuron adaptive psd intelligenc control algorithm is proposed for the first time in double adaptive neuron vsc controller and adopted method which separately adjusting learning rate in study of submarine combined maneuvering control system of near - surface
針對變結構控制存在抖動的缺點，首次提出了用飽合邊界層和自適應雙神經元變結構控制器（ adaptivevariablestructurecontrolwithtwin - neuron簡稱avsct ）的設計方法，並將其應用於潛艇空間運動聯合控制系統中。 -
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。 -
With the idea of the open engineering system, using the hail for workshop of metasynthetic engineering ( hwme ), intelligent control techniques, the expert system and the design of experiments are integrated within the framework of the nonlinear multi - objective decision support system to develop a robust, top - level design specification so as to make the system have the quality of adaptive control, self - organizing, self - learning and robustness
該方法利用綜合集成研討廳體系，提出滿意解集概念，把控制模型、專家系統、智能控制技術、模擬程序和實驗分析綜合在非線性多目標智能協調系統的框架中，探索設計空間，形成一個開放的穩定的設計，充分體現了把生態工業系統設計成一個開放的工程系統的指導思想，並使這個設計系統具有自適應、自組織、自學習和魯棒性的特點。 -
4, we construct an adaptive human - human interactive interface supporting cooperative awareness. the research on cahhi further perfects the existing adaptive system and makes the cooperative awareness naturally and variously. it contributes to solving the problem of web - based learning ' s interactive interface, enhances the awareness and interaction and makes the interactive environment more flexibly, friendly and efficiently
論文對支持協同感知的人一人交互界面自適應機制cahhi的研究，進一步完善了現有的自適應機制，使協同和感知變得更為自然和豐富，促進了信息化學習中交互界面問題的解決，提高學習者之間的感知性和交互性，使交互環境成為一種更靈活、友好、高效的界面形式。 -
While minor control signals are needed to realize the control object, relatively large disturbing signals are needed to detect the system status. dual adaptive control, however, can eliminate the conflict between control and learning satisfactorily
控制目標的實現要求控制信號平緩變化，同時對系統參數不確定性的學習又要求維持一定幅值和頻譜的輸入信號以起到充分激勵的作用。 -
This paper studies a design method of decentralized signal detection system which consists of adaptive fuzzied local - detectors and a data fusion rule of on - line self - learning weights. the local - detectors for inaccurate signal parameters are modeled by means of fuzzy sets which can be adapted to change of the inaccurate signal parameteres. the data fusion center where the optimal declsion rules are used as objective function can learn the local decision weights on - line. the robustness of the fuzzied local - detectors and the adaptability of the self - learned fusion rule make it true that the detection performance of the decentralized detection system is improved under uncertainty and this system can also process the decentralized signal detection with a unknown parameter of unknown distribution or non - random unknown parameter
本文研究了一種由局部自適應模糊檢測器和在線自學習融合演算法所構成的分散式信號檢測系統的設計方法.由模糊集對不精確信號參數的局部檢測器進行建模，該模糊模型可自適應不精確信號參數的變化.融合中心以最佳融合規則作為目標函數在線自學習局部判決的權重.局部模糊檢測器的魯棒性和自學習融合演算法的自適應性使該分散式檢測系統在不確定環境下的檢測性能得到提高.也使該系統能夠處理未知分佈的未知參數以及非隨機未知參數的分散式信號檢測
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