聯想網路模型 的英文怎麼說

中文拼音 [liánxiǎngwǎnglùmóxíng]
聯想網路模型 英文
a ociative network model
  • 聯 : Ⅰ動詞（聯結; 聯合） unite; join Ⅱ名詞（對聯） antithetical couplet
  • 想 : 動詞1 （思索） think; ponder 2 （推測; 認為） suppose; reckon; consider; think 3 （希望; 打算） w...
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 聯想 : associate; connect in the mind
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  1. As for the representation of the individuated pattern - base, we introduces a new classification representation method based on multi - users and multi - topics, so as to make each profile only denote one user ' s one topic. this method makes it possible to express explicitly the user ' s interest. as for the creation of the individuated pattern - base, we adopt the hopfield neural network model, which has the function of ample association and remembrance and may be used to associate with the user ' s interest to create the initial individuated pattern - base

    對于個性化模式庫的表示，本文給出了一種多用戶多主題的分類表示方式，使得每個profile文件只表達一個用戶的一個主題，可以更清晰的表達用戶的興趣；對于個性化模式庫的建立，本文採用了機器學習中的hopfield神經網路模型， hopfield網路具有豐富的聯想記憶功能，可以用來對用戶興趣進行聯想，建立用戶的初始個性化模式庫；對于個性化模式庫的維護，採用了基於用戶反饋的學習方法。
  2. In this paper, we study focus on building intrusion detection model based the technique of data mining ( dm ). firstly, the paper designed a scheme to modeling intrusion detection based dm and bright forward the idea of descriptive model and classified model to intrusion detection. secondly, we designed and implemented a net data collection system with high performance and a scheme to pretreat net data. thirdly, after studying the algorithms to mine association rule and sequence rule in net data, we extended and improved the algorithms according to the characteristic of net data and the field knowledge of intrusion detection

    首先設計了基於數據挖掘技術的入侵檢測建模方案，提出使用該技術建立入侵檢測描述性模型和分類模型的思想，並用分類判決樹建立了入侵檢測分類模型；其次，設計和實現了一個高性能的網路數據採集系統和網路數據預處理的方案；然後，在對關聯規則挖掘和序列規則挖掘演算法進行研究的基礎上，結合網路數據的特性和入侵檢測領域的知識對演算法進行了擴展和改進，挖掘出了網路數據的關聯模式和序列模式；最後，研究了描述性模式的應用，並設計出基於模式匹配的入侵檢測引擎，該引擎具有誤用檢測和異常檢測功能。
  3. Another highlight of the architecture is introduction of data mining technique. ids makes use of data mining algorithms to abstract key features of system runtime status from security audit data such as system log and network data stream, and then constructs classify engine of audit data

    本文提出的體系結構中還引入了數據挖掘思想，利用數據挖掘技術中的關聯分析、分類等演算法從系統日誌、系統調用序列、網路流等海量的安全審計數據中提取關鍵的系統特徵屬性，根據這些屬性生成安全審計數據的分類模型用於入侵檢測。
  4. Based on cognition theory and information technology, the paper build a simulated brain model to aid creative design by integrated artificial intelligent, expert system, fuzzy logic, and knowledge mining based on database over internet. the brain model including a memory structure to save information and knowledge, and a thought strategy with some certain levels to guide activities, therefore, the intelligent activities such as learning, problem - solving and creative design could be treated as the process that utility memory in control of thought strategy

    人腦模型體系包括了在思維策略控制下的學習、設計問題解決、創新等活動，並以語義網路與神經網路結合研究並實現了知識記憶結構，在此基礎上研究了產品構成知識的生成技術，使模型可方便實現自學習、自組織、聯想存貯等特性。
  5. Influences of perturbations of training pattern pairs on max - product fuzzy associative memory

    乘積型模糊聯想記憶網路的影響
  6. Data collected from mengda power plant have been used to train the model. unlike normal direct - method / indirect - method of heat balance, this model computes the boiler efficiency and main parameters needed for control in the boiler ' s operation efficiently by taking the advantage of neural network ' s inherited powerful co - relating ability, memorizing ability and the ability of mapping with nonlinear variables

    此模型不同於傳統的鍋爐效率計算方法（正平衡或反平衡方法） ，而是通過人工神經網路本身具有的強大的聯想功能和記憶功能以及對于非線性變量的映射能力，來計算鍋爐效率和鍋爐運行中需要調節的一些主要參數。
  7. Then, a practical approach of software quality evaluation based on this model is given out which uses the network method of nerve and combines the associative memory model with the expert judge and fuzzy appraisal according to the gradient theory. and a program of this approach is compiled using c #. net

    然後，根據梯度理論，應用神經網路方法將聯想記憶模型與專家評判、模糊評價相結合，給出一個基於此模型的軟體質量評價的實用方法，並用c # . net對此評價方法編程實現，最後通過實例來說明此方法。
  8. Basing on the thorough research and analysis of several essential technologies, we have implemented identity authentication, illegal link, network security aduit and anti - virus detection etc. we used digital certificate to accomplish identity authentication which was based on the study and analyzing of all kinds of authentication. in regard to network security audit, we mainly researched on the distributed model of network security audit and the audit strategy of the rule library. in view of the traditional rule library ’ s flaws, with the formalizing description of audit rule, we proposed a dynamic security audit strategy model which was based on the nature deduction system

    在研究並分析各種認證技術的基礎上，採用基於數字證書的認證方式，實現用戶上網資格審查;針對網路安全審計，重點研究了網路安全審計分散式模型以及基於規則庫的審計策略，並針對傳統審計規則庫的缺陷，通過對審計規則進行形式化描述，提出了一種基於自然演繹系統架構的動態安全審計策略模型dsasm （ dynamicsecurityauditstrategymodel ） ，並詳細論述了該模型的定義和推演演算法;通過深入研究非法外聯的關鍵技術和檢測模型，提出了基於路由表查找的c / s架構的非法外聯檢測模型;針對病毒檢測，提出了基於主機的防病毒檢測思想，在客戶端進行病毒防護。
  9. Firstly, a new joint filterbank precoders and decision feedback equalizers structure is proposed, and the corresponding optimization result based on the maximal mutual information criterion is derived. secondly, the concept of dt canonical model is proposed, which is very suitable for the task of blind signal processing based on the second - order statistical of the observations. thirdly, the methods of blind equalization and identification of the tv dispersive channels are researched systematically based on the proposed dt canonical model, and a subspace blind identification algorithm of the time - invariant channel matrix is developed

    本文創新性的成果在於：提出了預編碼-判決反饋聯合均衡系統結構，並從理論推導得出了對應的最大互信息量最優化設計結果；首次提出了時變色散通道的離散正則模型概念，該模型適宜於利用觀察數據的二階統計量進行盲信號處理；基於離散正則模型對時變色散通道進行了系統的盲均衡和盲辨識方法研究，提出了對時不變通道矩陣的子空間盲辨識演算法；針對誤差傳播效應問題，提出了可以消除誤差傳播效應的兩級盲辨識演算法；提出了基於離散正則模型的直接盲均衡演算法；提出了基於特徵恢復思想的神經網路直接自適應盲均衡演算法。
  10. Web pre - fetching model based on concept association network

    基於概念聯想網路的網頁預取模型
  11. To the primary contradiction of real - time interactive visual simulation, limited bandwidth of network and real time transmitting parameter of relative to move sight, the control mechanism of 3 - d visual object is discussed, under the direction of hla idea, the visual federal object model vfom is established to describe the visual data distributing ; the author designed a grammar of vfom context and a turing conversion mechanism, it will support exploitation of visual simulation in different field ; the author analyses and apply opengl to design a method of implement real - time interactive visual simulation on pc, in additional with object - oriented program technique network communication technique multithreading technique, implement pc - virsp. there are 7 chapters in this thesis. in chapter 1, the developments of virtual simulation is looked back, the aim and significance and the main search content is put forward

    論文針對實時交互視景模擬的主要矛盾，即網路有限帶寬與視景運動交互參數實時傳輸矛盾，探討了三維視體運動控制機理，結合hla思想，建立視景聯邦對象模型（ vfom - visualfederalobjectmodel ）來描述視景數據分佈；並設計了模擬實體鏈描述文本文法及其存儲轉換機制，有效支持多領域視景模擬系統開發；分析並應用圖形介面標準opengl ，設計了基於pc機的實時互操作視景生成方法；針對網路分佈環境下視景模擬實時交互需求，設計視景運動同步控制方案；並綜合應用了面向對象編程技術、網路通信技術、多線程技術，實現了基於pc機的視景實時互操作支撐平臺（ pc - vrisp ? real - timeinteractivesupportingplatformforvirtualsimulationbasedonpersonalcomputer ） 。
  12. In industrial the temperature system is classed large nonlinear system. with associative memory neural network as identification and fuzzy neural network as control established model reference adaptive control system, succeeded realized single dealing control. model reference adaptive control system supplied new method for other lager nonlinear system such as flux, stress and fluid system

    溫度控制系統是典型的非線性大滯后控制系統，根據本文提出的聯想記憶神經網路辨識器，與模糊神經網路控制器相結合，建立模型參考自適應控制方案，成功的實現了對單腔電阻加熱爐的控制，模型參考自適應控制方案可以向其它大滯后非線性特性的過程式控制制參量（如流量、壓力、液位等）推廣。
  13. On the basis of the overall strategy of “ becoming one of the world top 500 companies ”, set by the headquarters of china united telecommunications corporations ltd. ( china unicom ), and urged by the new economic and market conditions, china unicom ( jilin ) implemented bpr in its operation, maintenance, and service ( oms ) system. with the continuous evolution of the bpr theory, bpr, tested by practice, has gradually shifted its focus from overall reengineering to optimization and improvement of business enterprises, reaching a more rational and more comprehensive stage with an increased operability and success rate. using “ the methodology of systematic redesign ”, a study on business process reengineering in the operation, maintenance and service system in china unicom ( jilin ) makes an analysis on the present process and, based on the present process, systematically creates a new process for oms system in china unicom ( jilin )

    本文以目前企業界非常關注的熱點:業務流程再造（ businessprocessreengineering ，簡稱bpr ）在電信運營企業的運用為課題進行深入研究，在分析大型電信運營商運維體系所面臨的挑戰、運維理念變更的重要性和運維組織管理需要改革調整的必要性基礎上，分析研究吉林聯通運維服務體系管理流程的模式以及所存在的弊端，運用業務流程再造（ bpr ）理論對吉林聯通運維體研究，文中以bpr理論中的『系統化改造法』為指導思想， 『業務流程再造7階段模型』為理論模型對吉林聯通運維服務管理體系進行流程再造，整合網路管理、資源管理、作業調度系統之間的關系。
  14. In this paper, the artificial neural networks are considered as a structure set of the neurons. based on this point of view, we make a comprehensive and deep researching on the hopfield model neural network of associative memory with hebbian learning in three aspects, i. e., analyzing, describing and computing of the symmetry of the system, thus discovering the storing mechanism of the hebbian learning rule. which give a deeper understanding to the associative memory mechanism of artificial neural network

    本文將人工神經網路視為神經元的結構集，並從這個基本觀點出發，從三個方面，即對稱性的分析、表示以及計算，對hebb型的離散hopfield模型神經網路進行全面的、深入的研究，揭示了hebb法則這種特殊的存儲規則的機理，並以此來達到加深對整個網路的聯想記憶機理認識的目的。
  15. For the high controlled condition for larger nonlinear system, the identification which the classed method is difficult is important. the paper purposed a new associative memory neural network which can replaced system and ready for the request of control. this paper on the basis of fuzzy neural network technique and optimization it ' s parameter can get ideal output

    對于大滯后非線性系統控製品質要就比較高的場合，模型辨識是至關重要的，針對大滯后非線性系統難以用經典方法辨識的原因，模擬人腦記憶事物的過程，本文提出了一種新型聯想記憶神經網路結構，作為建模工具，以再現被控對象的特徵，為控製做好鋪墊。
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