computational rules 中文意思是什麼

computational rules 解釋
計算規則
  1. A new approach for initial localization of the mobile robots, namely complete line segments ( cls ) based localization was proposed. the definitions of cls as well as its properties and decision rules were given. the experimental results show that this method has much higher computational efficiency and better localization accuracy

    作者先針對目前機器人定位研究中的難點? ?初始定位,結合激光測距雷達的數據特點,提出了基於完整線段( completelinesegments , cls )的初始定位方法,包括cls的定義、性質和判定方法,並在機器人試驗平臺上進行了實驗。
  2. In applying fuzzy systems, a common problem is that there may exist redundant fuzzy subsets and rules, which can on the one hand increase the complexity of the fuzzy system and wasting the computational capacity, on the other hand make it difficult to describe the fuzzy system with natural language

    應用模糊系統時,常常會遇到的一個問題就是系統中可能存在冗餘的模糊子集和模糊規則。一方面增加了系統復雜性,浪費了計算能力,另一方面也給使用自然語言來描述系統造成了困難。
  3. 3. apply industrial process hybrid model mixed with logical and rule to simplify activated sludge process model in wastewater treatment and deduce to a reduced model adapted to control. the simulation result show that this method can combine mechanism model of activated sludge process and expert knowledge and operational experience and can get better effect of optimization and control. moreover, the computational time is short and suitable for real - time control in wastewater treatment by applying mixed integer nonlinear programming mixed with logical rules

    應用結合邏輯規則的工業過程混雜模型的方法,對城市污水處理中活性污泥法過程模型進行簡化,得出適用於控制目的的簡化模型,模擬結果證明:這種方法可充分利用對活性污泥法過程機理模型,又可利用專家及操作過程的經驗,從而更利於對活性污泥法過程的優化和控制,而且採用結合約束邏輯的混合整數非線性規劃演算法,計算時間較短,可適用於污水處理過程實時控制中。
  4. Chen keh - jiann and chen chao - jan discussed a computational approach in identifying unknown words. they tried to discover morphological rules for chinese by a corpus - based learning method. emphasis was put on the learning of rules that cannot be represented by regular expressions

    陳克健和陳超然討論了識別未登錄詞的計算方法,他們試圖使用基於語料庫的機器學習方法獲取漢語的構詞規律,並將學習的重點放在很難用「規則語法」來描述的構詞方法。
  5. In this paper, hydromechanical theories, three - dimensional unsteady turbulent finite volume model and pheonics software are adopted to simulate the pressure field and the velocity field of the drainage pipe in allusion to the actuality of the necessary pressurization test before being used. then analyze the computational results and figure out the variational rules of pressure and velocity with different leakage location while close water test or close gas test is applied

    本文針對無壓管道交付使用前必須進行嚴密性試驗的現狀,運用流體力學基本理論和三維非穩態紊流的有限體積模型,採用pheonics計算軟體,數值模擬不同管徑下不同漏水點的滲漏情況,模擬閉水和閉氣試驗時管道內部的壓強場和速度場的變化,並分析計算結果,從中找出其變化規律。
  6. More specifically, the research provides an appropriate framework of entities among which causal relations are to hold ; it also develops a theoretical framework of event causation, under which the structures and elements of causal relations holding among these ontological entities can be described ; it gives a general representation tool for event causation supported by the ontological and theoretical frameworks, under which causal relations can be formalized as causal rules for practical reasoning, e. g., predictive reasoning, in which nonmonotonicity, as well as the other general properties and the nature of elements involved, can be captured ; it constructs computational frameworks for abstract causal reasoning models, such as causal prediction, causal explanation, and causal diagnosis ; and it finally extends and utilizes these abstract reasoning models to formalize causal knowledge in specific domains to develop practical causal reasoning systems for ai research, e. g., story understanding and legal reasoning. the research i s original from several aspects as follows : ( 1 ) the analysis of the internal structure of events provides a fundamental ontology for causal relations

    具體地說,此項研究在以下幾個方面做了工作:它對因果關系存在的實體給出了一個合適的框架;它建立了一個基於事件的因果關系的理論框架,在這個框架下因果關系的結構與因素能夠被合理描述;它提供了一個得到本體論與因果理論支持的基於事件的因果關系的一般表達方式,使因果關系能夠被形式化為在實際推理(例如預測推理)中應用的因果規則,並使因果關系的非單調性以及其它的一般性質得到體現;它構造了基於事件的因果關系的抽象推理模型,特別是因果預測、因果解釋和因果診斷;最後它把因果推理模型推廣應用到具體的領域以建立實際的ai系統,例如在故事理解和法律推理中的應用。
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