離散消息 的英文怎麼說

中文拼音 [lísǎnxiāoxī]
離散消息 英文
discrete message
  • 離 : Ⅰ動詞1 （離開） leave; part from; be away from; separate 2 （背離） go against 3 （缺少） dispens...
  • 散 : 散動詞1. （由聚集而分離） break up; disperse 2. （散布） distribute; disseminate; give out 3. （排除） dispel; let out
  • 消 : 動詞1 （消失） disappear; vanish 2 （使消失; 消除） eliminate; dispel; remove 3 （度過; 消遣） pa...
  • 息 : Ⅰ名詞1 （呼吸時進出的氣） breath 2 （消息） news 3 （利錢; 利息） interest 4 [書面語] （子女） on...
  • 離散 : dispersed; scattered about; separated from one another; spread; debunching; straggling; fringing;...
  • 消息 : 1. （情況報道） news; information 2. （音信） tidings; news
  1. Thesis point out : agricultural product market information system construction lag behind on market for farm products construction, scale of market for farm products, institutionalized degree low grade factor influence market for farm products collecting and distributing and transmitting the function to information relatively. agricultural product stronger in price fluctuation, dependence and a low one getting dispersed, in the forming process of and the price of agricultural product : basic price form with market, producing area price can reflect person who consume - price etc. factor weaken price direction function of information. agricultural product supply and marketing chain does not cooperate in the play chess state that caused inside system reasonless behavior of participant and feedback mistake of message understand

    指出：農產品市場信息體系建設滯後於農產品市場建設、農產品市場的規模化、制度化程度較低等因素影響了農產品市場對信息的集散和傳遞功能；農產品價格較強的波動性、相關性和較低的離散性，以及農產品價格形成過程中：基礎價格形成與市場之外、產地價格不能反映消費地價格等因素弱化了價格信息的導向功能；農產品供銷鏈的非合作博弈狀態造成內部參與者的系統非理性行為和對反饋信息的錯誤理解。
  2. The software system of smart spaces distinguishs ifself from traditional distributed systems in that : 1 ) they should deliver functionality in our everyday world, which is a complex and dynamic changing environment ; 2 ) the system will consist of many wireless networked devices, while wireless connection is prone to transient failure ; 3 ) the interaction points for the people are distributed and multimodal, which imposes tight temporal constraints on the messaging between related modules ; 4 ) modules coming from diversified domains need to cooperate, which raise the need for an abstraction model at a proper level for the construction of the system

    智能空間系統具有區別于傳統分散式系統的新特徵： 1 ）背景環境是復雜、動態的物理空間，新的模塊可能隨時進入和離開； 2 ）存在大量無線聯網設備，而無線網的一個典型特徵是暫時性故障頻繁； 3 ）系統的交互點是分佈和多模態的，相關的模塊間消息的時間關系要求嚴格； 4 ）各種不同應用領域的模塊都可能需要交互協作，同時需要考慮對遺留代碼的包容性。
  3. 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。
  4. Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly

    本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。
  5. Among these techniques, log system is the foundation of fault - tolerance in distributed database systems. many sub - systems can benefit from powerful log system, such as distributed query, parallel processing control, transaction recovery, and message - based fault - tolerable log techniques. in addition, log can be used to maintain consistency among database ' s duplicates

    其中，日誌是錯誤容忍與分散式數據庫系統的基礎，分散式數據庫系統可靠性通過一套基於日誌的機制得到保證，如用於分散式更新、並發控制、事務恢復、錯誤容忍的消息日誌技術；當網路中斷或隔離，日誌可用於維護數據副本的一致性。
  6. ( 2 ) the agv perform platform structure 1s estab1 ished on the bi1sls ( ) i " software layering technology, model - - view separate technology, messdge bus technol ogy and di str ibuted techno l ogy

    （ 2 ）提出了基於軟體分層技術、模型-視圖分離技術、消息總線技術及分散式技術的agv地面運行平臺體系結構。
  7. Information technology - security techniques - digital signature schemes giving message recovery - part 3 : discrete logarithm based mechanisms

    信息技術.安全技術.帶消息恢復功能的數字簽名方案.第3部分:基於離散對數機制
  8. Message - based discrete event simulation

    基於消息的離散事件模擬方法
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