reasoning algorithm 中文意思是什麼
reasoning algorithm
解釋
推理演算法-
Fuzzy petri net based formalized reasoning algorithm with applications
網的形式化推理演算法及其應用 -
When these models deal with material uncertainty, there are different from basic thought and method in detail, but the reasoning has the same hypostasis and they have the same form of structure, such as the same description of knowledge " uncertainty, the same description of evidence ' s uncertainty, the same update algorithm of uncertainty and so on
不同的推理模型處理問題的基本思想和方法有很大的差異，但不確定推理的本質是相同的，都具有一個相同的結構形式，即對知識不確定性的描述，證據不確定性的描述和不確定性的更新演算法。 -
In case based reasoning ( cbr ) - based assembly sequence planning ( asp ), genetic algorithm ( ga ) can be utilized to improve the efficiency and quality of the reasoning process
摘要針對基於事例推理（ cbr ）的裝配順序推理的特點，建立了相應的遺傳演算法模型。 -
In order to improve the reasoning algorithm in multiple value causality diagram, which could not deal with the fuzzy case, a fuzzy reasoning algorithm was presented. it extended the definition of the multiple value causality diagram with fuzzy. the fuzzy mapping relation between every event variable and every reader variable was made
該演算法對多值因果圖進行了模糊擴展定義，使每個基本事件或節點事件變量對應一個能夠連續取值的讀數變量，在讀數變量和事件變量之間建立模糊對應關系，用讀數變量的取值相對於事件變量各狀態的隸屬度函數來表達模糊知識。 -
Based on knowledge reasoning, fuzzy theory, extraction of sub - assembly and cluster, and hierarchical connection relation graph, an assembly sequence generation algorithm is studied in this paper, which breaks down the original complex assembly sequence generation problem into several small scale assembly sequence planning problems to reduce the computing complexity caused by cut - set theory. a hierarchical and / or graph to store all the generated sequences is also employed for this purpose
本文提出基於知識推理及模糊理論，結合子裝配與聚族提取以及裝配樹，利用層次聯接關系圖，將一個復雜的裝配序列求解問題轉化為若干個相關的小規模裝配序列求解問題，並用一種層次與或圖結構存儲裝配序列，使割集法求解裝配序列的計算復雜度大大降低。 -
The reasoning of rapid acquisition algorithm for pulse timingover frame period in uwb communications
通信幀內脈沖時位快速捕獲演算法的公式推導 -
Applies the strict mathematical reasoning, translates the problem of relearning algorithm of redial basis function neural network into the problem additional operation of matrix operation
應用嚴格的數學推理方法，將徑向基函數神經網路的再學習問題轉化為矩陣求逆的附加運算。 -
Genetic algorithm ( ga ) is a simple, wide - used, and robust probability searching algorithm, compared to other optimizing methods, ga adopts some particular methods and techonolgies, and is easy to be mixed with other techniques such as neural network, fuzzy reasoning, so it has been used widely
遺傳演算法是一種簡單，通用，魯棒性強的概率搜索演算法。與傳統的優化方法相比，它採用了許多獨特的方法和技術，並且易於和別的技術（如神經網路，模糊推理）相融合，從而應用范圍非常廣泛。 -
( 5 ) user management system is built by asp technology on the server - side. user ' s register and logging is accepted and the user permission for different group is designed ( program files referred to appendix 1 ) ; the connection between web server and plastic die material database system realized by ado, odbc technology, which will guarantee the mutual information transportation between the database system and different terminals ; ( 6 ) further study of expert system is discussed and the implementing reasoning base on plastics mould material selection neural networks is put forward and key problems is also discussed. according to the requirements of sustainability, extended knowledge frame of mould selection and track algorithm meeting the requirements of dynamics, history, structuralism, illegibility, unintegrity and uncertainty are verified and corresponding examples are also put forward
（ 3 ）通過ado 、 odbc技術實現web服務器與塑料模具材料數據庫系統的連接，從而保證了塑料模具材料數據庫系統和各終端之間信息的雙向傳遞； （ 4 ）在服務器端利用asp技術建立塑料模具材料遠程選擇優化專家系統交互界面，通過標準數據庫查詢語言，客戶能對數據庫中的塑料模具材料信息進行查詢（程序文件列表參見附錄1 ） ；廣東丁業人學1學m學位淪義門）在服務器端利用sp技術建立用戶管理系統，接受用戶的注冊、登錄消求，為不同等級的用戶設定相應的權限（程序文件列表參見附錄1 ） ； （ 6 ）討論了進一步完善該專家系統所需做的工作，提出塑料模具選材神經網路批理的實現方案，並對其中的關鍵問題進行了討論：按照可持續發展的要求，對擴展的模具選材知識框架、滿足動忐性、歷史性、結構性、模糊性、個大根性、不硯定性等需求的跟蹤演算法進行了論證並給出計算示例。 -
Rule reasoning, fuzzy decision and information fusion algorithm are merged, and the step fault diagnosis method is accomplished ; for different object, when necessary knowledge is given, a special fault diagnosis system will be automatically produced, and the diagnosis result will be given
將規則推理、模糊決策、多傳感器信息融合演算法融為一體，形成一階梯式故障推理機制；對不同的診斷對象，只要設置好必要知識模塊，就可自行生成一專用故障診斷系統，並能自動輸出診斷結果。 -
Reasoning algorithm of intelligent plant diagnosis expert system for fms
故障診斷專家系統推理演算法的研究和實現 -
The reasoning algorithm and denotation mode of an expert system for fault diagnosis
故障診斷專家系統規則表示方式及推理演算法 -
Giving fuzzy reasoning algorithm of the controller, saving energy control system was designed based on fuzzy control
給出了控制器模糊推理演算法，設計了基於模糊控制的節能控制系統。 -
Application of the fuzzy logic reasoning algorithm in fms fault diagnosis and maintenance system
故障診斷與維修系統中的應用 -
The new approach is on the basis of the former disjoint. a reasoning algorithm based on the causality influence possibility distribution is
對于多值因果圖，本文也提出了一種基於因果影響可能性分配的推理演算法。 -
Abstract : it gives the models and concerned concepts of extension reasoning, and discusses realizing process of reasoning algorithm
文摘:根據可拓學理論，給出了可拓推理模型和可拓推理的有關概念，並討論了推理演算法的實現過程 -
Based on jess reasoning algorithm and agent techniques, we proposed and implemented an effective reasoning prototype system for semantic web
藉助具有智能功能的jess系統，結合agent技術和語義web本體邏輯體系設計進行語義web上的綜合推理，提出自己的原型系統。 -
This paper develops a reasoning algorithm special for the combination of predicate presentation and fuzzy knowledge, which effectively solves the conflict between predicate logic and uncertain reasoning
為了解決謂詞不能有效的進行不精確推理的問題，提出了針對謂詞結合模糊知識的推理演算法，建立了基於謂詞的模糊推理系統。 -
This dissertation discusses and studies to surround the knowledge representation, learning, reasoning, and the main contents include : at the first chapter, some familiar uncertain knowledge representation and reasoning and the difficulties of them : evidential theory, certainty factor, fuzzy logic and fuzzy reasoning, subjective bayesian method, belief network are introduced. we present the basic knowledge, primary reasoning algorithm, complexity of reasoning algorithm, the way of dealing with some problem of causality diagram relative and the research direction in causality diagram theory particular at the second chapter
論文圍繞著因果圖的知識表達、學習、推理進行了討論和研究，主要內容包括:在扼要介紹了一些比較常見的不確定性知識的表示和推理方法:證據理論、確定性因子、模糊邏輯與模糊推理、主觀bayes方法、信度網的基本知識之後，比較詳細地闡述了因果圖的知識表達，主要的推理演算法、計算復雜度以及對一些問題的處理方式方法。 -
This paper describes the details about knowledge representation and reasoning based on uncertainty in ai, and the outline of belief network. after introducing the causality diagram model and summarizing conventional reasoning algorithm, a new reasoning approach of causality diagram has been presented, which is aimed at the defects in conventional reasoning algorithm, which are the large amount of boolean computation and its complexity
論文詳細地介紹了人工智慧中不確定性知識表達及其推理的有關內容，並簡要介紹了信度網知識表達方式；在介紹因果圖知識表達模型、總結單值因果圖的常規推理演算法后，針對單值因果圖常規推理演算法中存在邏輯運算量大、計算復雜的困難，根據早期不交化的思想，提出了一種單值因果圖推理的新方法。
分享友人