推理題 的英文怎麼說
中文拼音 [tuīlǐtí]
推理題
英文
inferential problem- 推 : 動詞1 (向外用力使物體移動) push; shove 2 (磨或碾) turn a mill or grindstone; grind 3 (剪或削...
- 理 : Ⅰ名詞1 (物質組織的條紋) texture; grain (in wood skin etc ) 2 (道理;事理) reason; logic; tru...
- 題 : Ⅰ名詞1. (題目) subject; title; topic; problem 2. (姓氏) a surname Ⅱ動詞(寫上) inscribe; write
- 推理 : [邏輯學] inference; ratiocination; illation; reasoning; ratiocinate
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Many of the above-mentioned trends can be rationalized in terms of quasi-steady diffusion theory.
上述的許多問題可用準穩態擴散理論加以推理。The major problem was how to justify algebraic reasoning.
主要的問題是怎樣使人認為代數推理是可靠的。Case - based reasoning is a memory - based method which utilizes old cases and experience to solve new problem, and it can be seen as analogism from a case to another case
基於案例的推理( case ? basedreasoning )是一種基於記憶,利用過去的案例和經驗來解決新問題的一種方法,它可以看作是從一個案例到另一個案例的類比推理。In tcm the five - element theory, as a theoretical tool, is used to explain and expound different kinds of medical problems by analogizing and deducing their properties and interrelations
中醫的五行理論,作為一種理論工具,通過分析和推理用於詳細說明五種不同醫學問題的性質和它們之間的關系。Legal logic is useful in the processes of commanding legal concept, using legal concept, upbuilding and grasping proposition logically and carrying on legal reasoning accordingly, and doing logic reasoning for the legal arbitrament and legal ideas which are to be made
法律邏輯有助於準確掌握和運用法律概念,合乎邏輯地建立和把握命題並進行法律推理,對即將作出的法律裁決或法律意見進行邏輯論證。In algorithms, classification algorithms are divided into two cases : one for known statistical distribution model and the other for unknown statistical distribution model. four classification algorithms, the bata - prime statistic model fusing quadratic gamma classifier, based on sar image rcs reconstruction and space position mode, on the mixed double hint layers rbfn ( mdhrbfn ) model and on the self - adapt fuzzy rbfn ( afrbfn ) model, are derived. the problems, including how to further improving the class ratio of the bayes decision, decreasing the dependence on the statistical model and directly providing the adapted algorithm with samples, are solved
提出了基於徑向基函數神經網路( rbfn )的雙隱層混合網路( mdhrbfn )模型,解決了標準神經網路在具體sar圖像地物分類中分類類別數目不夠和分類精度差的問題;提出了基於模糊推理系統的自適應模糊rbfn分類( afrbfn )模型,兼顧通用性與精確性,增強人機交互能力,進一步提高了演算法分類率。The first study principally explored the half boundary effect n children ' s proportional reasoning problem solving
研究?主要考察了兒童解決比例推理問題中的「 1 2邊界效應」 。By utilizing self - diagnosis method and diagnosis method based on dt, it become more convenience for fault orientation. considering about fuzzy relation between fault cause and symptom, commix fuzzy diagnosis module was set up by means of fuzzy synthesize judge
將診斷樹應用於電噴發動機故障診斷專家系統可以優化搜索過程,實現對故障起因的最佳搜索。採用模糊綜合評判的方法進行模糊推理,有效地解決了故障原因與徵兆之間不確定性問題。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。Exploration on the deductive and inferential items in the examination for civil servants
關于公務員錄用考試演繹推理試題類型的探索Therefore, this dissertation based on the pre - research defense projects of “ research on longevous service and high reliability of satellite ” of the national tenth - five - year plan, study the method of uncertainty inference, and the application of rough set theory in the development of the satellite fault diagnosis system, the main content of this dissertation is as follows : first, this paper incorporate the status in quo of the technology of fault detecting and diagnosis and the artificial intelligence ( ai ), realize the newest trend of the technology of fault detecting and diagnosis is that using the technology of artificial intelligence to solve the certainty and uncertainty problem in the actual engineering area
為此,本文以國家武器裝備「十五」預研「衛星長壽命高可靠技術」研究項目為背景,研究不確定性推理理論中的粗糙集理論在衛星故障檢測和診斷中的應用,並開發相應的系統。主要研究內容包含以下幾個方面:論文首先結合故障診斷技術及人工智慧技術的發展現狀,明確了故障診斷的發展方向是使用人工智慧的最新研究成果去解決實際應用中更為常見的各種確定和不確定問題。分析了解決不確定推理技術的主要方法及各自的原理並進行了比較。9. a mixed repository which based on rule and ann was studied. the method of reasoning, controlling and repository mange was discussed
研究了基於規則和神經網路的混合專家知識庫,並對推理機制、控制策略和知識管理等問題進行了深入的討論。The illusion in prepositional and syllogistic reasoning was studied
摘要研究了雙陳述任務下的復合命題推理和三段論推理的錯覺。In this paper, case - based reasoning ( cbr ) system for qm is presented, which provides decision support for enterprise
本文將基於事例推理技術應用於質量管理過程中,為管理人員解決問題提供決策支持。( 7 ) based on the modeling algorithm of modified fuzzy petri net, business and financial fields of mechanical industrial engineering enterprises, which combine quantitative and qualitative relation
( 7 )基於擴展模糊petri網的建模演算法,對機械工程工業企業中既包含定性關系又包含定量關系的業務和財務問題,進行企業診斷建模和推理的應用模擬。The expert system gets most part of knowledge and ratiocinates by using ann, changes the result of the output of net into the form which the expert system can understand, gets the final result from the universal reasoning engine
本文採用神經網路進行大部分的知識獲取及推理功能,將網路輸出結果轉換成專家系統推理機能接受的形式,由專家系統的推理機得到問題的最後結果。Semantic nets ( sn ) has powerful capability of knowledge representation ( kr ), but there is no accepted formal description architecture of it38 - 39. this problem leads to different meanings of it and uncertainty of inference process
語義網路有很強的表達知識的能力,但它沒有公認的形式化表示體系,存在歧義性和推理不確定性的問題。An approach to xml problem solving by means of resolution principle is presented. the subsumption and request of problem is formalized by xdd and the problem is evaluated by employment of resolution principle. an intelligent decision support system based on xml is presented
主要內容包括:建立了基於xml的公理系統;給出了假言推理在xdd中的應用形式;論證了假言推理在xdd中有效性和完備性;給出了應用證明論方法實現xml問題求解的方法和步驟。In this thesis, reasning based medel and resolution principle are deeply studied, and using netal network partly driplement automated reasoning
本文在對命題邏輯系統的模型推理和歸結原理研究的基礎上,嘗試利用神經網路部分實現自動推理。Engineers have yet to solve fundamental problems involving robotic perception and world modeling, automated reasoning, manipulation of objects and locomotion
工程師還有很多根本的問題尚未解決,包括機器人的知覺、如何建立周遭環境的模型、自動推理、物品操作和行進方式等。分享友人