正則概型 的英文怎麼說
中文拼音 [zhēngzégàixíng]
正則概型
英文
regular scheme-
The content of this paper is arranged as foll owing : chapter 1 introduces the concept of credit, credit risk and credit assessment, as well as the history and development of credit assessment ; chapter 2 introduces the history of ai technology, and the background of expert system and neural network. characters and disadvantages of expert system and neural network are presented respectively and the necessity of combining expert system and neural network is lightened ; chapter 3 shows the process of dealing with sample data, including the treatment of exceptional data and factor analysis, and puts forward the concrete framework of the mixed - expert credit assessment system ; chapter 4 introduces concept of object - oriented technology, and constructs object model and functional model after analyzing the whole system. it also illustrates the implementation of concrete classes by an example of rule class and the inference algorithm in the form of pseudocode ; chapter 5 introduces the structure of the whole system, the major functional models and their interfaces, and the characteristic of the system is also generalized ; chapter 6 summarizes the whole work, and points out the remaining deficiencies as well as the prospective of this method
本文具體內容安排如下：第一章介紹了信用、信用風險、信用評價的概念，回顧了信用評價的歷史、發展和現狀，並綜合各種信用評價模型，指出這些模型各自的優缺點：第二章簡單描述了人工智慧技術，著重介紹有關專家系統與神經網路的基礎知識，通過總結它們的優缺點，指出結合專家系統與神經網路構造混合型專家系統的必要性；本章還介紹了神經網路子模塊的概念，提出了混合型專家系統的一般框架與設計步驟：第三章對樣本數據進行處理，包括異常數據的剔除、因子分析等，提出了信用評價混合型專家系統的具體框架結構，介紹了系統知識庫的主要部分、基於優先級的正向推理機制的流程、以及基於事實的自動解釋機制的具體實現方法；第四章介紹了面向對象技術，進而採用面向對象對信用評價系統進行分析，建立了對象模型和功能模型，並在此基礎上，採用c + +語言以規則類為例說明系統中具體類的實現，用偽代碼的形式描述了推理的演算法；第五章描述了整個系統的結構，對系統主要功能模塊和界面進行了介紹，並總結系統的特點；第六章總結了全文，指出本文所構造系統存在的不足以及對將來的展望。To the problem that finding rules in enormous data is very time - consumable and the expansibility of existed algorithms is not very good, the thesis proposes a new method to discompose large data table based on the concepts of positive region and the importance of attribute in rough set theory. existed algorithms of rule deduction can be applied directly on the tree structure obtained by partition and the times for computation will be reduced observably. validation of information entropy on the partition structure shows that the partition of data table will not lead to the loss of information, while the computing speed increases at the same time, which reflects the practicability and rationality about the partition of large data table
針對海量數據處理起來極為耗時，現有演算法拓展性較差的問題，基於rough集理論中的集合正域概念以及由此定義的屬性重要性概念，提出一種大型數據表分解演算法，現有的規則歸納演算法可直接在分解得到的樹型結構上應用，將大大降低知識發現的時間，並從信息理論的角度利用信息熵概念對該分解結構進行了驗證，分析了這種分解的實用性及合理性，揭示了這種分解結構在提高計算速度的同時不會損失信息量。Firstly, a new joint filterbank precoders and decision feedback equalizers structure is proposed, and the corresponding optimization result based on the maximal mutual information criterion is derived. secondly, the concept of dt canonical model is proposed, which is very suitable for the task of blind signal processing based on the second - order statistical of the observations. thirdly, the methods of blind equalization and identification of the tv dispersive channels are researched systematically based on the proposed dt canonical model, and a subspace blind identification algorithm of the time - invariant channel matrix is developed
本文創新性的成果在於：提出了預編碼-判決反饋聯合均衡系統結構，並從理論推導得出了對應的最大互信息量最優化設計結果；首次提出了時變色散通道的離散正則模型概念，該模型適宜於利用觀察數據的二階統計量進行盲信號處理；基於離散正則模型對時變色散通道進行了系統的盲均衡和盲辨識方法研究，提出了對時不變通道矩陣的子空間盲辨識演算法；針對誤差傳播效應問題，提出了可以消除誤差傳播效應的兩級盲辨識演算法；提出了基於離散正則模型的直接盲均衡演算法；提出了基於特徵恢復思想的神經網路直接自適應盲均衡演算法。This method can convert the dispersive channels into independent flat fading subchannels, so that it increase the diversity gain of the receiver and outperform that of the original paper as for the ber performance and maximum mutual information while maintaining all the advantages of it. in chapter 4, the models of the tv dispersive channels are reviewed in signal processing perspective
在第四章中，作者對時變色散通道的信號處理模型進行了研究，提出了離散正則模型的概念，對其進行了詳細的討論，並利用多采樣率理論將該模型推廣到一般的時變色散通道。Secondly, on the premise of the principle of minimum cost and serving object and planning aim of logistics distribution network in a city, the paper analyses systemicly all the factors on total cost, establishes arithemetic model, calculates with ristricted function method, then gets the initial distribution network. thirdly, the aticle evaluates and revises the results calculated from the foregoing madel with delphi method and secondary comparative model, thus gets ulteriorly optimized distribution network. at last, the importance of constructing logistics information platform is put forward, at the same time the flatform ' s requirment, function formation and running mechanism are analysed synthetically
本文首先分析了我國與國外物流發展的差距與異同，並根據我國物流業發展的客觀環境，提出了市域物流配送網路規劃的概念以及開展此項工作的重要性和迫切性；其次在最小成本原則和明確市域物流配送網路服務對象與規劃目標的前提下，對影響總成本的各項因素進行系統分析，從而建立基於最小成本的數學模型，並採用制約函數法對所建模型進行求解，得到最初的配送網路；再次由德爾菲法和二次比選模型對模型求解結果分別進行初次和二次評估修正，從而得到進一步優化的配送網路；最後提出建設市域物流信息平臺的重要性，並對其需求、功能組成及運行機制進行了綜合分析。This thesis then expounds the concept and applying methods of generally adopted ". arm ' s length principle ", probes into several important problems of comparability analysis, adjustment and information exchange in the application of " arm " s length principle ", elaborates on the application of the prin ciple to four types of intra - group transactions, including tangible transaction, intangible transaction, loan and service, and then analyzes the advantages and disadvantages of " arm " s length principle "
隨后本文結合立法和理論對內部交易稅收立法的基本原則? ?正常交易原則的概念、適用方法和正常交易原則適用中的可比性分析、附屬調整和情報交換等若干重要問題加以闡述，對正常交易原則具體適用於有形資產交易、無形資產交易、貸款和勞務提供等各類型內部交易加以詳述，並在此基礎上對正常交易原則的利弊進行分析。Basing on it we bring forward the disambiguation strategy using rule techniques and statistics techniques. in rule model, the acqusition method of rules base is improved. we use the part - of - speech of syntactic category to replace the syntactic category. in addition, statistics method is used to help to construct the rule base. in statistics model, the concept of learning machine - made is presented. in according to the result of learning, the method of calculating transition probabilities and symbol probabilities are amended
在規則方法中，改進了規則庫的構建方法，用兼類詞詞性代替兼類詞本身，並嘗試使用統計輔助構建規則庫；在統計方法中，在二元語法模型基礎上引入了學習機制的概念，根據學習結果對詞性概率和詞匯概率的獲取方法進行了修正。According to the distribution of chinese single - character after word segmentation in chinese text and the conception of " non - multi - character word error ", we proposed a group of rules to find errors in texts, to construct the automatic error - detection model and to implement its algorithm by combining the scattered single - character bigram models, part - of - speech bigram and trigram models
根據正確文本分詞后單字詞的出現規律以及「非多字詞錯誤」的概念，提出一組錯誤發現規則，並與針對分詞后單字散串建立的字二元、三元統計模型和詞性二元、三元統計模型相結合，建立了文本自動查錯模型與實現演算法。2, in the definition of the " characteristic dimension " stress and the correct factor fi, a fatigue model is presented for the fatigue of notched laminates
2 、在無孔層合板疲勞累積損傷模型的基礎上，運用「點應力準則」概念，提出帶孔缺口復合材料疲勞累積損傷模型，定義了應力修正因子。On the modern contract method, because of the honest reputation principle rising, the traditional contract duty has to be extended, the contract law not only protects the contract itself, but also even pays attention to the adjustment that relates to the whole process of the development to the contract, to carry out the party concerned and the benefits balance between the party of the contract concerned and societies
然而理論界對合同法上的附隨義務尚缺乏系統、深入的研究，對附隨義務的探討存在概念、特徵、類型等界定模糊，理論基礎涵蓋不足和定性不明確等缺陷，也給整個合同義務體系的構建帶來了困難。合同附隨義務的產生是基於誠實信用原則。它具有平衡個人利益與社會利益，彌補法律規定與合同約定不足，追求實質正義的功能。Then we give a formal problem description of mining association rules. we analyze the performance of the two typical algorithms, apriori and aprioritid, for discovering all significant association rules between items in a large database of transactions, then introduce the idea of some typical algorithms and analyze them virtues and disadvantages. we proposed the strategy of parallel mining association rules and describe the basic algorithms and analyze the performance of these algorithms
本文首先對kdd dm的主要概念和最近的發展作了綜述，給出了挖掘關聯規則問題的正式的描述，然後對典型的關聯規則演算法apriori演算法和aprioritid演算法作了較深入的性能分析，然後給出了幾個典型演算法的思想介紹和優缺點分析；提出了關聯規則的并行挖掘策略並且對相應的并行演算法進行了性能分析。分享友人