heuristic rule 中文意思是什麼

heuristic rule 解釋
啟發式規則
  • heuristic : n. -s 1. 啟發式教學法,啟發式的藝術[應用]。2. 【計算機】直觀推斷,試探法。adv. -ally
  • rule : n 1 規則,規定;法則,定律;章程,規章;標準;(教會等的)教規,條例,教條;常例,慣例。2 統治,...
  1. Optimized association rules are permitted to contain uninstantiated attributes. the optimization procedure is to determine the instantiations such that some measures of the roles are maximized. this paper tries to maximize interest to find more interesting rules. on the other hand, the approach permits the optimized association rule to contain uninstantiated numeric attributes in both the antecedence and the consequence. a naive algorithm of finding such optimized rules can be got by a straightforward extension of the algorithm for only one numeric attribute. unfortunately, that results in a poor performance. a heuristic algorithm that finds the approximate optimal rules is proposed to improve the performance. the experiments with the synthetic data sets show the advantages of interest over confidence on finding interesting rules with two attributes. the experiments with real data set show the approximate linear scalability and good accuracy of the algorithm

    優化關聯規則允許在規則中包含未初始化的屬性.優化過程就是確定對這些屬性進行初始化,使得某些度量最大化.最大化興趣度因子用來發現更加有趣的規則;另一方面,允許優化規則在前提和結果中各包含一個未初始化的數值屬性.對那些處理一個數值屬性的演算法進行直接的擴展,可以得到一個發現這種優化規則的簡單演算法.然而這種方法的性能很差,因此,為了改善性能,提出一種啟發式方法,它發現的是近似最優的規則.在人造數據集上的實驗結果表明,當優化規則包含兩個數值屬性時,優化興趣度因子得到的規則比優化可信度得到的規則更有趣.在真實數據集上的實驗結果表明,該演算法具有近似線性的可擴展性和較好的精度
  2. Alleged heuristic education, it is the intellectual level according to education purpose, content, student and intellectual rule, use all sorts of teaching methods, use inspire revulsive method to impart ability of knowledge, education, make the pupil learns active and actively, develop in order to promote body and mind

    所謂啟發式教學,就是根據教學目的、內容、學生的知識水平和知識規律,運用各種教學手段,採用啟發誘導辦法傳授知識、培養能力,使學生積極主動地學習,以促進身心發展。
  3. According to a great deal of knowledge and experience in actual production, and through the analysis and concluding of theory, the model of fuzzy knowledge and rule base of expert system is constructed by applying fuzzy technology and heuristic rule, as well as knowledge learning mechanism

    該系統以實際生產中積累的大量知識和經驗為依據,通過理論分析和歸納,基於模糊技術和產生式規則建立了專家系統的模糊知識規則庫模型,並建立了知識學習機制。
  4. Furthermore, combined the execution rule of petri nets and the search algorithms of tree, an innovative scheduling method is proposed by applying a heuristic search to the state space of petri nets. specially, by introducing heuristic function, depth - first and width - first is mixed in the search course ; thereby a feasible solution can be generated in a reasonable amount of time

    其次,在所得柔性製造系統petri網模型的基礎上,通過把樹的遍歷演算法與petri網的運行規則相結合,提出了一種啟發式調度演算法,通過在演算法中引入反映問題特徵的啟發函數,把廣度優先和深度優先搜索有機地結合,使得該演算法能夠在合理的時間復雜度內得到滿足精度要求的優化調度。
  5. Firstly, the system r style dynamic programming procedure ( and the specific heuristic rule ) is used to determine the join order of the relations. after that, the expensive predicates are placed in the operator tree ( or execution plan ) according their rank values with respect to joins

    它首先利用systemr中的動態規劃優化演算法和啟發式規則為連接運算產生連接次序,在此基礎上,根據選擇條件的rank值,將它放置到執行規劃中的適當位置。
  6. Neural network not only has the ability of dealing with complex pattern, associating, extrapolating and memorizing, but also has strong ability of self learning. it can catch up on the fault that heuristic rule can ’ t make diagnosis conclusions because of its noncompleteness. so neural network is appropriate to the fault diagnosis systems

    神經網路不但具有處理復雜模式及進行聯想、推測和記憶功能,而且還有很強的自學習能力,能克服由於啟發式規則的不完備而無法做出診斷結論的缺陷,因而它非常適合應用於故障診斷系統。
  7. This paper offers a heuristic search algorithm which is relative reduce by differential matrix calculating. this algorithm can quickly reduce fault knowledge base to deduce the east decision rule

    摘要本文給出用差別矩陣計算相對約簡的一種啟發式搜索演算法,能快速約簡故障知識庫,導出最小決策規則。
  8. The scheme is a three - step optimizing algorithm, its purposes are loading capacity optimization and efficiency of. operationg. with the practical loading restriction, it integrates heuristic algorithms and genetic algorithms, adopts layer loading idea and space partition and combining rule. the optimizing algorithm is composed of combination pretreatment, bottom space optimize and up space optimize. it can satisfy the loading restriction and has practicability

    該方案以空間利用率的優化以及運算效率的提高為目標,根據裝載過程中的實際約束條件,採用分層裝載思想以及空間劃分合併原則,結合啟發式演算法和遺傳演算法,提出三層逐次優化策略:組合預處理優化、底層空間優化、上層空間優化。
  9. Topics covered include : applications of rule chaining, heuristic search, logic, constraint propagation, constrained search, and other problem - solving paradigms, as well as applications of decision trees, neural nets, svms and other learning paradigms

    涉及的主題包括:鏈式規則的應用、啟發式搜索、邏輯、約束傳播、約束搜索和其它問題解決範例,另外還有決策樹的應用、神經網路、向量機( svm )以及其它學習範例。
  10. Then the methods of ontology integration is studied, which falls into two main steps : using hierarchical cluster method to find similar concepts and using heuristic rule to merging similar discovered concepts

    本文接著對本體集成方法進行詳細研究。本體集成過程為先利用聚類演算法來找出相似概念,再利用啟發式規則進行相似概念合併處理。
  11. Finally, genetic optimization research is summarized on several typical production scheduling problems. after expounding the general idea of genetic algorithm, the comparative advantages in contrast to the traditional algorithm, the basic characteristics of genetic algorithm and its theoretical base, the paper puts emphasis on the efficiency of genetic algorithm in the scheduling of flow shop, and puts forward an improving genetic algorithm : the ordinal genetic algorithm based on the heuristic rules. the new algorithm introduces into the initial group the solution of heuristic algorithm, and in the group structure adopts a strategy of first ordering according to the priority of the adaptive solution, and then defining a new way of choosing probability by segments, which provides more hybridizing opportunity for optimized individuals, and designs variation - control rule to prevent single population and partial optimal solution

    在論述了遺傳演算法的思想、與傳統搜索演算法的比較優勢、遺傳演算法的基本特徵和遺傳演算法的理論基礎(包括模式定理、隱含并行性、基因塊假設、欺騙問題和收斂性定理)后,重點探討了遺傳演算法在flowshop調度問題中的潛力和有效性;結合啟發式規則,提出了一個改進的遺傳演算法?基於啟發式規則的有序遺傳演算法,新演算法在初始種群中引入了啟發式演算法的解,在種群結構上採用了先按適應值優劣排序再分段確定選擇概率的新策略,使優質個體有更多的雜交機會,在變異中設計了變異控制規則,以防種群單一化,而陷入局部優化解。
  12. Logistics network planning theory and method are made up of three main parts : custom service mainly discusses custom service theory and how to confirm reasonable custom service method and model ; logistics sites selection including defining the position and scale, the article develops a set of model on address selection that makes use of a heuristic arithmetic to compute and comparatively appraise the expenditure of each project, and to eliminate some unacceptable projects according to expenditure rule

    在對物流系統理論進行論述之後,提出物流系統設計的方法和步驟,其主要包括物流客戶服務標準制定及如何實現、物流選址模型的建立、運輸網路規劃及線路分析、庫存分析等。物流網路的規劃設計的理論與方法主要包括四大部分:物流客戶服務、物流設施的選址、配送運輸網路的規劃設計和庫存管理與規劃。
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