inference rules 中文意思是什麼
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A strategy specification, which is specified by a state chart and defeasible rules, can be dynamically plugged into an agent shell incorporating a state chart interpreter and a defeasible logic inference engine, in order to yield a desirable agent
使用狀態圖和可廢止邏輯規則說明談判策略，將其動態地插入到一個集狀態解釋器和可廢止邏輯推理引擎於一體的代理殼中，就可以獲得所需要的自動談判代理。 -
The intelligence agent technology is an approach to automatic negotiation. the paper presents a flexible and effective method of development of negotiating agents. a strategy specification, which is specified by a state chart and defeasible rules, can be dynamically plugged into an agent shell incorporating a state chart interpreter and a defeasible logic inference engine, in order to yield a desirable agent
智能代理技術是實現自動談判的有效途徑，本文提供靈活有效的談判代理開發方法，使用狀態圖和可廢止邏輯規則說明談判策略，動態地插入到一個集狀態解釋器和可廢止邏輯推理引擎於一體的代理殼中，就可以獲得所需要的自動談判代理。 -
Rules of inference for quantifiers in discrete mathematics
離散數學中與量詞有關的推理規則 -
And it can be also applied to kb, idss, real - time database and expert systems etc. on the other hand, the organization and inference of the rules in the present kb has no unified symbol, which makes structure complicated, design difficult, reasoning more complex and accurate because of unconformable outer condition and event
另一方面，在現行知識庫中對于規則的組織、調度與推理並無統一標志。這種無統一性，造成在設計知識庫時，由於外部條件、事件的不可確定性，使得庫內結構復雜，增加了設計的困難，也增加了推理的復雜度和準確性。 -
The gpss have one output and two inputs which are speed error and its derivative. selecting triangular function as fuzzy variable ' s membership function, mamdani max - min synthetic method as fuzzy inference method and centroid method as denazification method, fuzzy control rules are given according to the control expectation of governor and the experience of operating staff
這種模糊gpss採用二輸入單輸出結構，以機組轉速誤差及其導數為輸入量，以三角形函數作為模糊量的隸屬函數，根據水電機組穩定控制要求和操作人員的經驗制定控制規則，以mamdani的max - min合成法和重心法分別作為模糊推理方法和清晰化方法。 -
Inference rules can build a command - line target even if no description block exists
即使不存在描述塊，推理規則也可以生成命令行目標。 -
The acquisition, expression and application of fuzzy knowledge were fulfilled through fuzzification of photothermal traits, establishment of fuzzy logic rules, fuzzy language and inference etc. the goodness of fit to practical situation is up to 92. 4 %
該系統通過對光溫特性的模糊化、模糊邏輯規則的制定、模糊推理及解模糊等過程，完成了農業模糊知識的獲取、表達和運用。經檢驗，該系統與實際情況的吻合度達92 . 4 。 -
The same rules for type inference apply to static methods as well as instance methods
相同的類型推斷規則也適用於靜態方法以及實例方法。 -
First, the principle of fuzzy reasoning based on topological transformation is constructed, then fuzzy topology based on inference rules and reasoning function is obtained
在推理規則的前提與結論集合上分別建立fuzzy拓撲，構造出了拓撲變換推理函數。其次，研究了拓撲變換推理函數的性質。 -
Precedence in inference rules
推理規則中的優先級 -
If no makefile is specified, it uses inference rules to build command - line
如果未指定生成文件，則nmake使用推理規則生成命令行 -
Inference rules supply commands to update targets and to infer dependents for targets
推理規則提供命令來更新目標並推理目標的依賴項。 -
Inference rules are user - defined or predefined ; predefined rules can be redefined
推理規則是用戶定義的，或預定義的；預定義的規則可以重新定義。 -
This method provides a reference for intellectualized bearing fault diagnosis. fault diagnosis methods with fuzzy inference, rules inference, case - based inference and combination of fuzzy inference and rules inference are analyzed briefly
第五章分析了模糊推理診斷、規則推理診斷、基於實例的推理診斷以及模糊推理和規則推理相結合的故障診斷方法。 -
The dissertation accomplished the design of a fuzzy controller on the organization of the secondary combustion, how to build the fuzzy control rules, a principium design of the total fuzzy control system and a principium design of the experimental system used for accumulating inference rules
論文完成了二次燃燒組織的模糊控制器的初步設計，噴霧燃燒模糊控制規則的建立方法、步驟和整個模糊控制系統的初步設計，以及積累經驗控制規則的實驗系統設計。 -
In the chapter 3, based on the analysis and summary for the stator resistance - current relation, the fuzzy inference parameters of the stator resistance and the inference rules are determined, and the control parameters of the switching state selector are optimized
第三章在分析總結定於電阻與電流非線性關系的基礎上，確定了定於電阻模糊推理變量及推理規則，並對開關狀態選擇器的控制變量進行了優化。 -
Furthermore, it is verified by these sufficient conditions that the fuzzy controllers constructed by 29 fuzzy implication operators are universal approximators when all inference rules are connected by " u ", and the fuzzy controllers formed by 40 fuzzy implication operators are universal approximators when all inference rules are connected by " "
在此基礎上給出了模糊控制器具有泛逼近性的若干充分條件，進而，由這些充分條件驗證了當規則取並時有29個模糊蘊涵運算元構成的模糊控制器具有函數的泛逼近性；當規則取交時有40個模糊蘊涵運算元構成的模糊控制器具有函數的泛逼近性。 -
The simulation results indicate that the parallel robot control can achieve much better effect than the traditional method by means of fuzzy control only if the abundant control experience and correct inference rules are available. as the simulation result showing, the anfis achieves the same satisfying effect with successful fuzzy control without requiring any control experience. the anfis can adjust the parameters of fuzzy inference system automatically and eliminate the influence of interfere signal on the base of adequate training samples
在缺乏實驗條件的情況下，通過對不同控制策略的模擬比較研究，說明了在具備系統的先驗知識和成熟的模糊規則的基礎上，對並聯機器人採取模糊控制能取得比採取傳統控制要好得多的效果，而anfis則能在毫無經驗的情況下，通過自動調整隸屬函數參數，自動建立符合系統變量特徵的控制模型和模糊推理規則，並能夠排除噪聲等干擾信號的影響，取得了與依賴專家知識進行控制一樣的效果，這也是模糊神經網路控制的優勢所在。 -
Secondly, this paper discuss basic conception and general structure of expert system mainly, analyzes merits and faults of some algorithm deeply, on the basis of that, presents a fan fault diagnosis expert system based on rough sets theory by field reality. with the relation of fan ’ s symptom and fault, structures symptom - fault parallel table which is simple and clear. reduces knowledge base by rough sets, establishes inference rules through forward inference, overcomes the “ bottle neck ” problem of knowledge acquisition of expert system by combining fuzzy theory with rough sets
然後著重論述了專家系統的基本概念和一般結構，介紹了粗糙集理論的研究基礎以及在故障診斷中的應用，深入分析了幾種演算法的優缺點，在此基礎上結合現場實際構建了基於粗糙集的風機故障診斷專家系統的體系結構。利用風機徵兆和故障之間的關系構造了徵兆故障對照表，關系簡單明了。 -
Secondly, adaptive - network based fuzzy inference systems ( anfis ) turn membership functions in antecedent part and parameters in consequent par of inference rules by means of least - square methods and gradient descent methods
與普通的模糊神經網路相比，這種模糊神經網路收斂速度快，建模精度高。第三，混合模糊神經網路建模。
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