inference theory 中文意思是什麼
inference theory
解釋
推理理論-
Galileo strongly fought against the traditional ideas of the aristotle ' s theories, and he formed the thought of identity, continuance and dialectical materialism in course of his scientific research. he had written the book dialogue concerning the two chief world systems - ptolemaic and copernican to refute the theory that the earth was static, and push the copernicus " revolution forward by protecting and advocating the cosmic principle of copernicus ; he get many scientific theories by making a thorough study of motion, so provided the materials need of which newton was ; he applied the scientific method firstly in history of science which combined mathematical inference with experience and observation organically, and entrusted modern meaning to some old - time methods, so advanced the development of scientific knowledge greatly and began the history of modern physics
伽利略強烈反對亞里士多德式的傳統思維觀念，在長期深入的運動研究中發展了同一性和連續性思想，以及把物質性質劃分為兩類的機械唯物主義思想；他著書立說駁斥「地靜說」 ，捍衛和宣揚「地動日心」的宇宙結構，推動了「哥白尼革命」 ；他深入研究運動，獲得大量科學理論，為牛頓綜合提供了豐富的材料；他在科學史上首次使用數學演繹與觀察實驗有機結合的科學方法，並賦予一些古老研究方法以現代含義，大大推進了科學認識的發展，開創了現代物理學歷史。 -
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。 -
Combining communication with cognitive linguistics, relevance theory argues that language communication is an ostensive - inferential process, where inference plays a vital role
對人類交際的關聯理論進行探討，並結合話語交際實踐，提出語言交際是一個明示推理過程，是必須依靠推理來進行的新的語用學觀念。 -
The rule of fluctuation of energy and pressure about canonical assemblages relativity quantum perfect gas under high temperature is given through strict theoretical inference and comparison with the theory on non - relativity
通過嚴格的理論推導，給出了正則系綜高溫條件下相對論量子理想氣體的能量和壓強的漲落規律，並與非相對論漲落進行了比較 -
Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory. in the fault diagnosis applying neural network theory, six kinds of improved arithmetic of back - propagation arithmetic, including gradient descent with momentum, variable learning rate back - propagation, resilient back - propagation, quasi - newton, levenberg - marquardt and conjugate gradient, are applied to diagnose the faults of electric load manage center and solid state power controller. different diagnostic results gotten by simulation are compared at last
在基於專家系統的故障診斷方法中，採用了產生式知識表達和正向推理機制；在基於神經網路的故障診斷方法中，則分別採用了bp神經網路的附加動量法、自適應學習速率、彈性bp演算法、擬牛頓法、共軛梯度法和levenberg - marquardt法對電氣負載管理中心和固態功率控制器的故障進行診斷，並對由模擬得到的不同診斷結果進行比較。 -
The purpose of this book is to present up-to-date theory and techniques of statistical inference in a logically integrated and practical form.
本書的目的，是採用邏輯上嚴謹而又切合實際的形式提出統計推斷的最新理論與技巧。 -
At present, the dominant pricing theories both an home and abroad are capital assets pricing model ( capm ) and arbitrage pricing theory ( apt ) = the inference about these pricing theories is all from the perspective of the side of demand, which may give an impression of losing contact with reality
目前國內外居主流地位的定價理論是資本資產定價理論（ capm ）和套利定價理論（ apt ） 。這些定價理論的推導都是從需求方的角度考慮的，總使人有脫離實際之感，本文提出了從供給方和有效市場理論的角度去理解和運用該理論的思路。 -
According to the dominant characteristics of test analysis and assessment in small sample circumstance, the bayesian method in small sample statistical inference and fusion theory is adopted as an important and suitable approach. the main research work includes bayesian multi - information fusion using credibility and data fusion of different environments in this dissertation
本論文針對當前小子樣試驗分析與評估的特點，以bayes方法為小子樣統計推斷與融合理論的研究主線，重點研究了基於可信度的bayes多源信息融合方法以及不同環境下試驗數據的融合方法。 -
Abstract : the mathematical model of reliability design for shaft rigidity was established based on reliability inference theory. reliability calculation of cylinder shaft rigidity of press was proceeded and regularity of cylinder shaft rigidity reliability as the condition change was found
文摘:應用可靠性設計相干理論建立了軸的剛度可靠性設計的數學模型，著重探討印刷機印刷滾筒軸的剛度可靠度的計算，並得出不同條件下印刷滾筒軸剛度可靠度的變化規律。 -
Fourthly, the design of fuzzy inference engine for satellite environment control in accordance to the fuzzy inference theory
第四，根據模糊推理原理設計了衛星環境控制模糊推理機。 -
By employing a method of combining narration with argumentation, logical inference with comparative analysis and qualitative analysis with quantitative analysis, by taking the standpoint of historical materialism and based on interdisciplinary application of such economic principles as comparative cost theory and international relation theories, the present paper intends to make a breakthrough in the traditional theoretical framework of oil security and probe into the issue of oil in the middle east and china ' s oil security in some way
本文採用敘述與議論相結合，邏輯推理與比較分析並舉，定性分析與定量界定相結合的方法。堅持歷史唯物主義的基本立場，以比較成本理論等經濟學原理與國際關系理論的交叉運用為理論基礎，力求突破傳統石油安全理論的框架，對中東石油與中國的石油安全戰略進行一定程度的探討。 -
At last the paper uses fully learning data according celts, constructs theory and methord of implementing system. the theory has two aspects : gives imprecise learning methords using rules when sequencing initially, such as introducing, narrating emphases and so on ; during the process of learning, we construct a fuzzy evaluating model using the data of scores, learning time and browsing times, and adjust scores with learning objects. then we can inference more precice learning strategy based on the result of evaluation, such as searching previous knowledge units, learning current knowledge units repeatly
該原理主要體現在兩個方面：一是在初始編列時，根據規則的匹配與調用可以實現較為粗略的教學方法指導，如一般性介紹、重點講述等；二是在過程導學當中，針對最具代表性的測驗成績、學習時間、瀏覽次數的學習效果和行為，結合學習者的預期學習目標等因素進行適當的成績調整、時間改進等處理，並運用模糊綜合評判的方法對學習者實施有效評價，以推理出在學習過程中較為細化的教學建議，如搜索前驅知識單元、重新學習當前知識單元等。 -
In order to avoid matching the fault symptoms with the identification conditions artificially, ( fuzzy ) neural network was designed for diagnosis according to the optimal decision system. for the continuous quantitative diagnosis data such as the measurement, and the result of signal processing, a new hybrid system of self - organizing map ( som ) / fuzzy c - means ( fcm ), rough sets theory, and adaptive neuro - fuzzy inference system ( anfis ) was presented. firstly, the continuous attributes in diagnosis decision system were discretized with som or fcm
對于連續的定量故障診斷數據（監測數據） ，以4135柴油機為例，提出了自組織映射（ som ）模糊c -均值（ fcm ） ?粗糙集?自適應模糊神經網路推理系統（ anfis ）集成的具體故障診斷實施方案：首先，應用som或fcm離散故障診斷數據中的連續屬性值；然後，基於粗糙集理論應用遺傳演算法計算診斷決策系統的約簡，按照實際需要確定診斷條件；最後，根據系統約簡設計anfis進行故障診斷。 -
Probability theory of conditional inference
有關條件推理認知機制的概率理論 -
This paper mainly deals with the multivariate bayesian inference theory used in the modern economical and management science. this includes the bayesian inference theory about three important kinds of linear models, including the single equation model, multiple equation model system and var ( p ) predictive model, and their application in economic forecasting and quality control, and also the design for the bayesian classification identification method among multiple populations
本文主要研究現代經濟管理中的多元貝葉斯推斷理論，包括單方程模型、多方程模型系統和向量自回歸var （ p ）模型的貝葉斯推斷理論及其在經濟預測與質量控制中的應用，以及多總體的貝葉斯分類識別方法的構造。 -
The confirmation theory which is one of the uncertain inferring model has been adopted to construct the inference engine, for the special knowledge in the field is uncertain and fuzzy. at the same time the knowledge on fuzzy set theory and fuzzy logic has been applied to calculate the final value about certainty factor value ( cfv ) of a rule through inputting several initial values
根據專門知識的不確定性和模糊性，運用非精確推理模型中的確定性理論，組織實現系統的推理機，在對規則可信度進行不確定性處理時，引入模糊集合論和模糊邏輯的有關知識，處理多個初始可信度的輸入，由此得出最終比較可靠的規則可信度。 -
On the strength of the square loss function, this part also defines the vector loss function and matrix loss function, and discusses the bayesian risk decision solutions about random vector parameter and random matrix parameter under these loss functions respectively. secondly, the bayesian inference theory about single equation model is explored
在單參數平方損失函數的基礎上，定義了向量損失函數，利用向量化運算元vec定義了矩陣損失函數，並討論了這兩類損失函數下隨機向量參數和隨機矩陣參數的貝葉斯風險決策解。 -
Experiments proved its efficiency and robustness. this recognition system introduced d - s inference theory in statistical pattern recognition, and implemented it by neural network
該系統充分結合了d ? s證據理論在不確定性推理方面的優勢以及神經網路強大的非線性處理能力，實驗結果表明了這一形狀識別系統的有效性。 -
Furthermore, the bayesian inference theory about unrestricted and restricted var ( p ) model under the parameter ' s prior distributions is explored. the structure of minnesota conjugate prior distribution, its hyper - parameters and determination, and the bayesian theory about var ( p ) model under the special conjugate prior distribution are all analyzed in detail
其次，探討了非限制性和限制性var （ p ）預測模型的貝葉斯推斷理論，系統地分析了著名的minnesota共軛先驗分佈的結構及其超參數的設置，以及該先驗分佈下var （ p ）模型的貝葉斯推斷。 -
This thesis mainly discussed the theoretical basis of information fusion, the applications and state - of - the - art. then studied it ' s applications on target recognition. we introduced dempster - shafer inference theory and neural network techniques, which were two typical algorithms in information fusion in details
本文主要研究信息融合的理論基礎、相關應用問題以及研究現狀和發展方向，討論了信息融合技術在目標識別中的應用問題以及相關演算法，重點介紹了d ? s證據理論和神經網路技術這兩種融合演算法。
分享友人