rule-based expert system 中文意思是什麼
rule-based expert system
解釋
基幹規則的專家系統-
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
根據電能質紂監測系統的燈點，提出了靈話的規則基專家系統的方案，並且對其進行了深入的研究。 -
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。 -
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。 -
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。 -
This research focused on applying the system analysis principle and mathematical modeling technique to study knowledge expression system for crop cultivation management. based on extensively collecting, understanding, analysis, and integration of expert ' s knowledge and experience, literature and experiment data for cotton cultivation management, the dynamic relationships of cotton growth and management indices to variety types, ecological environments and production levels were quantified, and a dynamic knowledge model for cotton management ( cottonknow ) was developed. by further incorporating the rule - based knowledge system for cotton management, a comprehensive and intelligent knowledge model - based decision support system for cotton management ( kmdsscm ) was established with component design
本研究著重利用系統分析原理和數學建模技術來研究作物栽培管理的知識表達體系，在廣泛收集及充分理解和分析棉花栽培管理專家知識、經驗和資料的基礎上，利用棉花栽培理論與技術方面的現有研究成果，並結合必要的試驗支持，解析、提煉和綜合棉花生育及管理指標與品種類型、生態環境及生產水平之間的定量化關系，首次構建了棉花栽培管理動態知識模型，並進一步結合基於知識規則的棉花栽培管理知識庫表達系統，設計和實現了綜合性、智能化和構件化的基於知識模型的棉花管理決策支持系統（ kmdsscm ） 。 -
After discussing of the current bdar, the chosen radar ’ s damage mode and effects is analyzed in the paper according to its function structure and fighting mission. and then, an expert system is presented to assess effectively and intelligently based upon the bayesian networks. in detail, three knowledge representations, i. e. production rule, frame and bayesian networks are adopted to express different kinds of knowledge in the expert system, and forward deduction and bayesian networks ’ uncertain reason are combined to accomplish the expert system inference process
本文在總結戰場損傷評估與修復的理論體系和研究現狀的基礎上，選用某型號雷達作為研究對象，按照其功能結構及作戰任務的特點，分析了它的戰場損傷模式與影響，並就其損傷評估與修復的常用方法和決策思路，設計了一個基於貝葉斯網路的專家系統以提高戰損評估決策的自動化、智能化水平。 -
In this page the disadvantages of common intrusion detection system are presented. and the details of designs of a expertsystem based real - time intrusion detection system with brief introduction of expert system in artificial intelligence are also exhibited in this paper. meanwhile an example of definition of rule - set in knowledge - rule database is included in the introduction mentioned above
該文討論了普通型入侵檢測系統的弱點，對人工智慧的重要領域專家系統作了簡要介紹，提出了一個基於專家系統的實時入侵檢測系統的詳細設計方案和實現方法，同時舉例說明如何定義知識規則庫中的規則集。 -
Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly
本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。 -
On the basis of existing research, the paper integrates fuzzy neural network technology with diagnosis expert system based on case - reasoning and rule - reasoning
本文在已有研究基礎上，將模糊神經網路技術集成到基於實例推理和規則推理的診斷專家系統中。 -
This thesis is mainly concerned with problems of power quality disturbance signal ' s analysis and classifies by rule - based expert system
本文主要研究了應用規則基專家系統對電能質量信號進行分類。 -
It is efficiency in analysis the power quality. rule - based expert system is schemed for automatism identifies power quality disturbance signal
西安理工大學碩士學位論文規則基專家系統的設計實現了自動的識別電能質量擾動信號。 -
It was, i mean i built an intelligent configurator - basically a baby rule - based expert system - for configuring linux kernels, and i did it all in less than 8, 000 lines of python
是的，我是說我構建了一個用於配置linux內核的智能配置程序基本上是一個小型的基於規則的專家系統，我用少於8000行python代碼就完成了它。 -
In this paper, a new method based on mixed - expert system is introduced. in the prototype system constructed in this paper, we use rule - based expert system to deal with qualitative factors and neural network to trait quantitative data
本文提出了基於混合型專家系統的信用評價技術，利用神經網路處理財務狀況方面的定量分析，利用專家系統來完成定性指標處理、數據預處理、綜合企業情況判定企業信用等級等功能。 -
The paper briefly introduces the basic theory of fault tree analysis and rule - based expert system, and offers to combine fault tree analysis with rule - based expert system. by connecting fault tree to diagnosis knowledge base through cut set, we can express expert knowledge totally, systematically, and logically by building fault tree. it makes automatic knowledge acquisition come true to obtain diagnosis rule base automatically according to the fault tree
本文簡要闡述了故障樹分析法和基於規則的診斷專家系統的基本原理，提出將故障樹分析法與基於規則的診斷專家系統相結合的方法，通過割集將故障樹與診斷專家系統知識庫聯系起來，用建立故障樹的形式全面、系統、層次性地將專家知識表述出來，由故障樹自動生成基於規則的專家系統診斷規則庫，實現了診斷知識的自動獲取，並且確保了診斷知識的一致性和完備性。 -
Secondly, the mode based on the expert system of the uncertainty reasoning in teaching methods is discussed emphasizely, and the theory of certainty factor is applied to the mode, then we develop an expert system program by using clips language. in the system, fuzzy knowledge expression and reasoning based on the production rule are realized, so that we can perferably realize the intelligent and individual property of icai
然後探討了採用基於不確定性推理的專家系統實現對教學方法的選擇的方式，將可信度理論嘗試性地運用於教學方法的選擇上，並使用clips （ clanguageintegratedproductionsystem ）語言開發了一個實際可行的教學方法選擇專家系統，實現了基於規則的模糊知識表達與推理，從而較好地實現了icai系統中的個別化和智能化教學。 -
We design a cve - based intrusion detection expert system rule base, it combine the network - based ids and host - based ids into a system, and provide detection, report and response together
本文提出一種基於cve標準建立的入侵檢測專家系統規則庫，該入侵檢測專家系統是基於網路和主機的混合結合體，提供集成化的檢測、報告和響應功能。 -
The procedure of rule - based conflict resolution is proposed, and the corresponding support tool is implemented by dest - - - - - - a design expert system tool
提出基於規則的沖突解決的方法，給出基於規則的沖突解決的流程，並採用專家系統開發工具dest來實現之。 -
According to the peculiarities of parachute fault diagnosis, fuzzy relation matrix and production rule representing the knowledge of parachute were proposed for the parachute fault diagnosis expert system. we also put forward an integrated diagnosis reasoning mechanism which combines fuzzy - based reasoning and rule - based reasoning
根據降落傘故障診斷領域知識的特點，提出在降落傘故障診斷專家系統（ pfdes ）中採用模糊關系矩陣和產生式規則來表示診斷知識，進而提出了基於模糊推理和基於規則推理相結合的集成診斷推理機制。 -
Architecture is presented for integrating case - based reasoning and rule - based reasoning with totally new viewpoints. moreover, this paper puts forward the framework of the expert system and the approach to implement the design above. the experiments are done in the domain of automobile sounder faults " diagnosis with the rad tools ( borland delphi5. 0 and interbase6. 0 ), and the preliminary results are very promising
以borlanddelphi5 . 0和interbase6 . 0為開發工具，應用人工智慧診斷方法和面向對象的程序設計方法，開發出了以車輛音響故障為研究對象的診斷專家系統原型，使用基於執行和非執行測試的方法，通過實例驗證了以上方法的正確性和整體實現框架的有效性。 -
This paper, in order to realize data check - up based on knowledge base, analyses in depth the rule, reasoning in the expert system in artificial intelligence field, the defect of data restrain in the traditional database and improvement on the data check - up based in knowledge base
本文為了實現基於知識庫的數據校驗，深入分析了人工智慧領域內專家系統中的規則和推理、傳統數據庫中數據約束的缺陷以及在基於知識庫的數據校驗中的改進。
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