rule network 中文意思是什麼
rule network
解釋
規則網路-
The changeless rule of network security
實現商用操作系統的安全加固 -
As a whole the system may compart three modules : ndis drivers in the kernel mode, the dll program in the user mode and the user application program, adopting the share memory technology three modules realize the data share of the control canal rule, the encapsulation data and the network neiborhood name and so on, so we can easily finis1 " the packet authentication by the control canal rule, improve the filtering efficiency of the system. whereas the current of firewall technology, the system has wide utily value and business value. this software is based on windows 2000 operating system, the programming language is chosen as visual c + + 6. 0 and win2000 ddk
從總體上可以劃分為以下三個模塊：核心層的ndis網路驅動程序、應用層的動態鏈接庫程序以及用戶應用程序，這三個模塊之間通過內存共享技術完成對控管規則、封裝數據、網上鄰居名字列表等數據的讀寫操作，從而很方便的根據控管規則實現了對網路封包的認證操作，提高了系統的過濾效率。鑒于目前防火墻技術的發展趨勢，本系統具有廣泛的實用價值和商業價值，因此具有一定的推廣前景。軟體的開發基於windows2000操作系統，開發語言採用visualc + + 6 . 0和win2000ddk 。 -
The ids of the paper is network - based anomaly detection system. with the help of data mining technology, we bring forward a measure to describe the normal state of the network traffic and user behavior and extracting the useful rule from large network data. so we can establish the knowledge warehouse which describe the normal state of the network traffic and user behavior. the knowledge warehouse can be the standard in order to judge the normal state. we can find the dubitable connections according to account the state and anomly instances of connections
論文在描述網路應用和用戶行為時採用數據挖掘技術從海量的網路數據中提取有用的規則，構建了一個描述正常狀態下的網路應用和用戶行為的規則集，這個規則集是用來判斷網路應用和用戶行為是否正常的標準，論文根據這個標準分析當前網路連接的異常情況，將可疑的連接找出來。 -
The thesis presents a expert system for identifies power quality disturbance signal, after compare the artificial neural network, nearest neighbors, fuzzy decision, and expert system. we bring forward the project flexible rule - based expert system, according to the characteristic inspection and measure system, and has a deep research on the problem of this system. this project for disturbance classifies has lower mistake ratio and facility maintenance
採用專家系統的方法進行模式識別，在對神經網路、最近鄰法、模糊邏輯和專家系統及一些交叉方法等模式識別方法進行比較分析的基礎上，根據電能質量信號故障分析的特點，提出了採用規則基專家系統的方法，該模式識別方法具有便於擴展、修改和識別率高等特點。 -
The technology, illation rule and parameter of neural network are supposed to be held in database and make a delicate database system
知識和推理規則、神經網路參數都必須由數據庫保存，使數據庫系統實現知識數據的一體化存儲與管理。 -
By the impact of the special rules of network economics, such as metcalfe rule and positive feedback rule, dot - corns have appears the new forms of commercial mode and mode of growth, and had special source of value
在網路經濟的特有規律，諸如梅特卡夫定理、邊際效用遞增和邊際成本遞減原理、正反饋原理等的作用下，網路公司表現出了全新的經營模式和成長模式，並產生了特有的價值形成和實現方式。 -
Compared with the regular rule - based expert system, the bayesian network based es can reason on the incomplete input information using the prior probability distribution ; the topological structure of the network being used to express the qualitative knowledge and the probability distributions of the nodes in the network being used to express the uncertainty of the knowledge, which made the knowledge representation more intuitively and more clearly ; applying the principle of the bayesian chaining rule, bidirectional inference which allow infer from the cause to the effect and from the effect to the cause can be achieved
與一般基於規則的專家系統相比，貝葉斯網專家系統利用先驗概率分佈，可以使推理在輸入數據不完備的基礎上進行；以網路的拓撲結構表達定性知識，以網路節點的概率分佈表達知識的不確定性，從而使不確定性知識的表達直觀、明確；利用貝葉斯法則的基本原理，可以實現由因到果及由果到因的雙向推理。 -
Neural network control is an important mode of intelligent control, and it is widely used in branches of control science, first, the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially, the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next, before introducing the neural network control to the double close loop dc driver system, the controllers of current and velocity loop are designed using engineering design approach after analysis of the system, simulation models of the system are created
神經網路控制是智能控制的重要方式之一，它廣泛應用於自動控制學科各個領域。本文首先敘述了控制系統中常用的多層前饋網路結構及演算法（ bp演算法） ，特別提及了能夠較好描述系統動態性能的對角遞歸神經網路和在用遞推預報誤差演算法訓練drnn時取得了較快的收斂速度。其次，應用工程方法分析設計了tf - 1350糖分離機的電流、轉速雙閉環直流調速系統的控制器，作為引入神經網路控制的設計基礎，並建立了系統的模擬模型。 -
The content of this paper is arranged as foll owing : chapter 1 introduces the concept of credit, credit risk and credit assessment, as well as the history and development of credit assessment ; chapter 2 introduces the history of ai technology, and the background of expert system and neural network. characters and disadvantages of expert system and neural network are presented respectively and the necessity of combining expert system and neural network is lightened ; chapter 3 shows the process of dealing with sample data, including the treatment of exceptional data and factor analysis, and puts forward the concrete framework of the mixed - expert credit assessment system ; chapter 4 introduces concept of object - oriented technology, and constructs object model and functional model after analyzing the whole system. it also illustrates the implementation of concrete classes by an example of rule class and the inference algorithm in the form of pseudocode ; chapter 5 introduces the structure of the whole system, the major functional models and their interfaces, and the characteristic of the system is also generalized ; chapter 6 summarizes the whole work, and points out the remaining deficiencies as well as the prospective of this method
本文具體內容安排如下：第一章介紹了信用、信用風險、信用評價的概念，回顧了信用評價的歷史、發展和現狀，並綜合各種信用評價模型，指出這些模型各自的優缺點：第二章簡單描述了人工智慧技術，著重介紹有關專家系統與神經網路的基礎知識，通過總結它們的優缺點，指出結合專家系統與神經網路構造混合型專家系統的必要性；本章還介紹了神經網路子模塊的概念，提出了混合型專家系統的一般框架與設計步驟：第三章對樣本數據進行處理，包括異常數據的剔除、因子分析等，提出了信用評價混合型專家系統的具體框架結構，介紹了系統知識庫的主要部分、基於優先級的正向推理機制的流程、以及基於事實的自動解釋機制的具體實現方法；第四章介紹了面向對象技術，進而採用面向對象對信用評價系統進行分析，建立了對象模型和功能模型，並在此基礎上，採用c + +語言以規則類為例說明系統中具體類的實現，用偽代碼的形式描述了推理的演算法；第五章描述了整個系統的結構，對系統主要功能模塊和界面進行了介紹，並總結系統的特點；第六章總結了全文，指出本文所構造系統存在的不足以及對將來的展望。 -
Moreover, this article also made a preliminary discussion on the combination of neural network theory and the differential game guidance law. the bp model and rbf model and their corresponding learning algorithm were employed to design the neural network guiding rule based on the differential game guidance law
另外，本文還將神經網路理論與微分對策制導律相結合作了初步的探討，並結合具體的bp網路和rbf網路及其相應的學習演算法設計出了基於神經網路技術的微分對策制導律。 -
In rsdm, binary patterns are replaced by real - valued patterns, accordingly avoiding the coding process ; the outer learning rule is replaced by regression rule, therefore the model has not only the ability of pattern recognition but the ability of function approximation. the prearrangement of the address array bases on the distribution of patterns. if the distribution of patterns is uniform. then the address array is prearranged randomly, otherwise predisposed with the theory of genetic algorithm and the pruneing measure so as to indicate the distribution of patterns and improve the network performance. non - linear function approximation, time - series prediction and handwritten numeral recognition show that the modified model is effective and feasible
在rsdm中，以實值模式代替二值模式，避免了實值到二值的編碼過程：以回歸學習規則代替外積法，使該模型在具有識別能力的同時具有了對函數的逼近能力；地址矩陣的預置根據樣本的分佈採取不同方法，若樣本均勻分佈，則隨機預置，否則利用遺傳演算法的原理和消減措施來預置地址矩陣，使之反映樣本的分佈，改善網路的性能。 -
By the browser / web server / database structure and the technology of asp. net and xml, we achieve the expert system running on the network, extend the application and ensure its backward compatibility ; we have the deep research to the representation of knowledge and apply it to the system, extend the traditional method of rule based knowledge representation ; introduce the fuzzy sets, analyze the generalized possibility interval sets, and combine the linguistic variables and fuzzy sets ; the system adopts the forward and backward chaining, researches the reasoning under uncertainty and inexact reasoning ; and we depart knowledge base and inference engine, make the upgrade simple and maintenance convenient. in the last, we construct the potato produce manage system according to the phases of potato ' s growth to give a detailed instruct to its produc e
Net和xml技術，實現了網路化的專家系統，同時擴大了專家系統的應用范圍，提高了系統的後向兼容性；對專家系統中的知識表示技術作了深入探討，在傳統的基於規則的知識表示方法的基礎上，提出了基於規則擴展的知識表示方法，並較好地將其應用到本系統中；引入了模糊集合，分析並推導了廣義可能區間集，將其應用於模糊知識的表示，將語言變量和模糊集合結合起來；提出對系統採用互動式知識獲取途徑、雙向推理控制策略，對不精確推理和不確定性推理的傳播演算法作了一定的研究，成功地將其應用到馬鈴薯專家系統的構建之中；採用知識庫和推理機相分離的方法，使得系統升級簡單易行。 -
Hi the aspect of symmetry analyzing to the hopfield model neural network with hebbian learning, we study on the dynamical behavior of the state space under the action of isometric transformation group g = z2 ? n, and prove the invariant property of the energy orientation ? / / " ) of the state space under the action of g. we find that the symmetry relationship of the network is sx - sw = sh when the active function of the neuron is odd, where sx is the symmetry of the patterns set x under hebbian learning rule, sh is the symmetry of the network and sw is the symmetry of the weight matrix w of the network
） s _ n為手段，研究了網路狀態空間在群g作用下各點的運動情況，證明了群g作用下的不變性。證明了當神經元的激活函數f為奇函數時， hebb法則下存儲樣本集x的對稱性s _ x 、網路對稱性s _ h以及連接矩陣對稱性s _ w三者之間滿足s _ x = s _ w = s _ h的關系；同時，我們還證明了：網路穩定態集vf同一s _ h軌道中的兩個穩定態的動力學行為（能量和吸引域大小）相同；兩個等距網路h和h 1 = g ? h ， （ ? ） g （ -
Based on the current research achievements on durability under chloride environment, probability theory, structural reliability theory, concrete structures theory, neural network theory and structure dynamic theory are employed comprehensively in this dissertation. some problems of durability of reinforced concrete structures under chloride environment were studied through the exploitation of experimental data, the rule of chloride ingress and steel bar corrosion, the performance of corroded member, and residual life prediction. the main issues and results in this dissertation are as follows : 1 、 the probability method for the prediction of durable life based on the stipulated reliability index for concrete structures under chloride environment is presented in this dissertation
本論文在國內外對氯離子侵蝕環境下混凝土結構耐久性研究成果的基礎上，綜合運用概率理論、結構可靠性理論、混凝土結構理論、神經網路理論、結構動力學理論等基本理論和方法，結合實際檢測數據，按照氯離子侵蝕、鋼筋銹蝕、銹蝕構件性能、銹蝕構件壽命預測的思路對氯離子侵蝕環境下鋼筋混凝土結構耐久壽命預測的有關問題進行了深入系統地研究，完成以下主要研究工作並取得相應成果: 1 、提出了氯離子侵蝕下基於規定可靠指標的混凝土結構耐久壽命的概率計算方法。 -
Because of some problems of internet bank of the development of chongqing and the counterwork, the study is very important, especially based on chongqing city area. the problems are lying on : ( l ) the worry of security ( 2 ) the obstacle between commercial banks ( 3 ) the rule of law is ambiguity ( 4 ) the network station of the commercial banks is dropped behind
重慶市網上銀行存在的問題和影響是： （ 1 ）安全性憂慮：網民對網上交易安全性問題的擔憂一直處于各類問題之首； （ 2 ）跨行障礙：網上銀行不能跨行方便地劃轉資金； （ 3 ）法規不明； （ 4 ）網站建設嚴重落後。 -
Then discusses common knowledge representation method such as predicate logic, semantic network, production rule, frame etc. and probes into the application of predicate logic in epr system
然後，較詳細地討論了謂詞邏輯、語義網路、產生式規則和框架等常用的知識表示方法，重點研究了謂詞邏輯知識表示技術在電子病歷系統中應用問題。 -
In view of adaptive learning for diagnostic images recognition, studying the theorem and the rule of art artificial neural network to learning and adaptive, provided an algorithm with a function of self - stability and classifier learning
摘要針對特徵圖像的自適應識別技術問題，研究了利用具有學習和自適應功能的art人工神經網路原理及規則，提出了具有自穩定適應和分類學習功能的演算法。 -
And finally, security by rule can help you manage the type of data allowed into your network in excruciating detail
而且最後，規則的安全[性]能幫助你處理被允許進入極度的明細的你的網路的數據的型態。 -
Their learning and training rules have been analyzed profoundly and their abilities to approximate arbitrary nonlinear function have been testified and compared by the simulation. a new rbf neural network has been presented which uses a raised - cosine function as activation transfer function. it provides a wider generalization in comparison with gaussian rbf neural networks by simulation as well as strong approximation ability, fast convergence, a rule to select the parameters of the networks
本文詳細研究了兩種典型的前向神經網路（ bp網路和rbf網路）的學習和訓練演算法，提出了一種新穎的基於緊支集餘弦函數的徑向基神經網路，其克服了常用的高斯型rbf神經網路雖具有緊支集但各基函數非正交的不足，其收斂速度快、網路參數選取有理論依據且相比于高斯型rbf神經網路具有更強的泛化能力，模擬驗證了其有效性。 -
The fault samples with the signal of zero or one and the model of bp neural network are established, in accordance with nine faults of pulverizing system for chongqing power plant. during the course of the samples compilation, produce rule 、 neural network representation etc are synthesized to organize and express the fault sample of pulverizing system. before being putted into the database, the sample data is disposed to ensure sample data integrity and no redundancy
本文針對重慶發電廠制粉系統九種故障建立了以0 、 1為徵兆量的故障樣本和相應的bp神經網路模型，且在制粉系統故障及其相關故障樣本編輯過程中，應用了神經網路產生規則式、框架式等知識表達方法，有效的表達制粉系統故障及其相關故障診斷知識，並且為保證數據的完整性，減少數據冗餘，對數據庫進行了規范化處理，簡化了數據結構和避免了數據沖突。
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