rule-based inference system 中文意思是什麼
rule-based inference system
解釋
基於規則的推理系統-
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。 -
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。 -
Air defense missile fdes based on rule inferece is studied and designed in detail, including the construction of knowledge base system, design of the inference algorithm and the building of knowledge base management system. 3
深入研究了基於規則推理的地空導彈故障診斷專家系統的設計方法，並對系統進行了設計，包括規則知識庫的構建、推理演算法的設計以及診斷知識庫管理與維護系統的組建。 -
For the first time this dissertation discusses the feasibility of data mining for the fields data of cfbb ， analyses the preprocessing technology of sample data ， introduces the application of clustering analysis ， and finally completes the rule extraction by applying knowledge - based artificial neural network. considering distributed parameters ， nonlinear ， and long time lag system of cfbb ， the theory of self - organizing neural fuzzy inference system is applied to the control system of cfbb ， and enables control rules extraction on - line. the models of data mining and self - organizing ( fbnc - pnn controller ) are programmed ， embedded to the control system of a 35 t / h cfbb in tsingtao ， and finally improve the performance of cfbb effectively
本文還針對流化床鍋爐運行的非線性嚴重、大滯后、不確定性大等特點，研究了基於數據挖掘優化的模糊神經自組織控制策略在循環流化床控制系統中的應用，使規則獲取可以在線進行；並編制了數據挖掘模塊優化自組織控制模塊，應用到青島35t / h循環流化床鍋爐的控制系統中，提高了鍋爐的運行水平和效率，取得了良好的效果。 -
It can be known that using pr ( product rule ) method combining with fs ( frame structure ) method can make knowledge expression more convenient and practical. using the " loose & tight coupling " style not only maked for the refresh, expand and administration of knowledges but also can improve the efficiency of system inference. aiming at different inference phases and problems, combining rbr ( rule _ based reasoning ) with fm ( fuzzy matrix ) reasoning by using different inference mechanism is easy to realize solve strategy of the fuzzy inference mechanism
通過該系統的具體開發可知，採用產生式規則和框架系統相結合的方式，可以使領域知識的表達更加方便、實用；應用松緊耦合的方式建立系統知識庫，不僅有利於知識的更新、擴展與管理，而且能提高系統推理的效率；針對制動器設計過程中不同的推理階段和問題，採用不同的推理機制，將rbr / cbr推理與模糊矩陣推理技術相結合，易於實現不精確推理中問題的求解策略；利用人工智慧技術，結合cad / cae手段，是kbe設計方法比較可行的一種實現方式。 -
At last, a novel hybrid neural fuzzy inference system is presented. only based on the desired input - output data pairs, both knowledge acquisition and initial fuzzy rule sets are available
最後，設計了一種新型混合神經模糊邏輯推理系統，該系統僅從輸入輸出樣本數據集即可達到獲取知識、確定模糊初始規則基的目的。 -
According to the analysis and comparison of the three inference mechanisms, and considering the real need of this system, in chapter five we set up a unified inferring pattern in which the frame - based inference playing a leading role and the rule - based inference playing a core role
介紹了知識庫的組成結構，闡述了知識庫的管理和維護。第五章，在對當前3種推理機制進行分析比較的基礎上，結合本系統的實際，提出了以框架推理為向導，規則推理為核心的推理機制。
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