inference n. 1.推理,推論;推斷,結(jié)論,論斷;含蓄,含意。 2.推斷的結(jié)果;(邏輯上的)結(jié)論。 speak from inference 推測說。 draw [make] an inference from ... 根據(jù)…下結(jié)論。 the deductive [inductive] inference 演繹[歸納]推理。
Developed by oopl , it encapsulates several components of expert system , such as knowledge base and inference engine . it provides multiple knowledge representations including production rule and object oriented , and knowledge acquisition . multiple inference methods and inference strategies and explanation mechanism are properly organized under the model 該模型采用面向?qū)ο蟪绦蛟O(shè)計(jì)語言開發(fā),內(nèi)部封裝了知識庫、推理機(jī)等專家系統(tǒng)模塊,可以提供產(chǎn)生式,面向?qū)ο蟮戎R表示方法,以及交互式獲得的知識獲取方法,能綜合運(yùn)用的基于知識表示方式的推理、不精確推理等推理控制策略以及解釋機(jī)制。
The two - stage modeling method takes into account the characteristics of software project risk management and software metrics data , integrates qualitative knowledge and quantitative data . to study the software project iterative process risk ’ s bayesian network model , the definition of cyclic bayesian network is presented , probability convergence property of directed cycle in cyclic bayesian network is proved and probability inference method is put forward 論文在軟件項(xiàng)目迭代過程風(fēng)險(xiǎn)的貝葉斯網(wǎng)絡(luò)模型研究中,定義了有環(huán)貝葉斯網(wǎng)絡(luò),證明了有環(huán)貝葉斯網(wǎng)絡(luò)中有向環(huán)的概率收斂性質(zhì),給出了有環(huán)貝葉斯網(wǎng)絡(luò)的概率推理方法。
Abstract : on the basis of the experimental data of microstructure and strength for gray cast iron with high carbon equivalent , the adapted fuzzy neural network model of relationship between microstructure and strength for predicting the strength of gray cast iron has been developed by using adaptive neural - fuzzy inference method . comparing with the models based on multiple statistic analysis , fuzzy regression or generalized regression neural network , it shows better learning precision and generalization 文摘:以高碳當(dāng)量灰鑄鐵組織-強(qiáng)度實(shí)驗(yàn)數(shù)據(jù)為基礎(chǔ),用自適應(yīng)模糊推理方法,建立了灰鑄鐵強(qiáng)度自適應(yīng)模糊神經(jīng)網(wǎng)絡(luò)預(yù)測模型,與多元線性回歸、模糊回歸和廣義回歸神經(jīng)網(wǎng)絡(luò)模型相比,該模型學(xué)習(xí)精度高且具有較好的泛化性。
( 3 ) based on the analyses results of simple inference method and seismic focal mechanism and on the statistic results of measured geostress data , the direction of principal stress was derived and based on the analyses results of macro geological estimate and on the statistic results of measured geostress data the magnitude of principal stress was derived too . the influence of rapidly down - cutting of yellow river on geostress field of studied zone was discussed . then the evolution of geostress field accompanying with the down cutting of yellow river and was simulated with fem and the spatial distribution features of geostress were discussed 根據(jù)簡易推斷法、地震震源機(jī)制分析法以及地應(yīng)力實(shí)測資料統(tǒng)計(jì)分析結(jié)果,綜合確定了工程區(qū)的主壓應(yīng)力方向;運(yùn)用地質(zhì)宏觀判斷法并結(jié)合地應(yīng)力實(shí)測資料的統(tǒng)計(jì)分析結(jié)果對地應(yīng)力的量級進(jìn)行了綜合評價(jià),并進(jìn)一步討論了黃河快速下切對研究區(qū)地應(yīng)力場的影響;運(yùn)用有限元法模擬了研究區(qū)地應(yīng)力場的形成過程,并探討了地應(yīng)力的空間分布規(guī)律。
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采用二輸入單輸出結(jié)構(gòu),以機(jī)組轉(zhuǎn)速誤差及其導(dǎo)數(shù)為輸入量,以三角形函數(shù)作為模糊量的隸屬函數(shù),根據(jù)水電機(jī)組穩(wěn)定控制要求和操作人員的經(jīng)驗(yàn)制定控制規(guī)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。
In this paper , at first we introduce the purpose , significance , domestic and foreign research present situation of network tomography . we give a detailed presentation on tomography and measure methods by different classified method . after introduced the elementary knowledge about tomography , we elaborate in detail the derivative process of multicast - based direct estimator algorithm , expectation maximum algorithm and unicast - based loss inference method 本文首先介紹了網(wǎng)絡(luò)透視的目的、意義和研究現(xiàn)狀,按照不同的分類方法介紹了幾種主要的網(wǎng)絡(luò)測量和網(wǎng)絡(luò)透視方法;在介紹了網(wǎng)絡(luò)透視技術(shù)的基礎(chǔ)知識后,詳細(xì)闡述了多播透視算法中直接估計(jì)算法( directestimator )和最大期望算法( expectationmaximum )的推理過程,以及單播透視的丟包率推理算法。
Bayesian network technique is believed as the new direction of software project risk management by domestic and overseas scholars . the focus of this dissertation is to establish a framework of software project risk management based on bayesian network , and to study risk bayesian network models , structure and probability inference method . thereby , it provides a systematic modeling method for software project risk management , and it offers new technique approach and realization means for solving iterative and dynamic problem of software project risk 貝葉斯網(wǎng)絡(luò)作為一種處理不確定性的有效方法,本文旨在建立基于貝葉斯網(wǎng)絡(luò)的軟件項(xiàng)目風(fēng)險(xiǎn)管理框架,研究風(fēng)險(xiǎn)貝葉斯網(wǎng)絡(luò)模型、結(jié)構(gòu)以及推理方法,從而為軟件項(xiàng)目風(fēng)險(xiǎn)管理提供了一種系統(tǒng)化的建模方法,為解決軟件項(xiàng)目風(fēng)險(xiǎn)的迭代和動態(tài)特性問題,提供了新的技術(shù)途徑和實(shí)現(xiàn)手段。