generalization method 中文意思是什麼

generalization method 解釋
廣義化方法
  • generalization : n. 1. 一般化，普遍化。2. 概括，綜合，總結；歸納；法則化。3. 廣義；概說；概念，通則。
  • method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. On a generalization of ehrlich ' s method

    迭代法的一種推廣
  2. Though the method has generalization capability, it doesn ’ t satisfy the application. when the examples include yawp, wrong recognition occurs. generalization of the traditional is not ideality and instability

    神經網路模式分類方法雖然具有比其他分類方法更好的泛化能力，但在實際應用中，仍然不能滿足人們的期望。
  3. Based on the investigation and study of impact compaction technology in civil and abroad, this paper discusses the impact compaction working sections that include xining ~ huangyuan, machangyuan ~ pingan, xining ~ taersi and pingan ~ adai expressways. through contrast analysis and generalization of the working sections " test data and aggregate analysis of expressways " test result, this paper studies construction process, construction effect test method and efficiency of loess subgrade construction applied by impact compaction technology in qinghai province

    本課題在對國內外有關沖擊壓實技術調研的基礎上，依託西湟公路、馬平公路、西塔公路及平阿公路試驗段開展沖擊壓實試驗研究，對各個試驗段的試驗結果進行分析、綜合和總結，研究了沖擊壓實技術在青海黃土路基施工中的施工工藝、施工效果、檢測方法及效益等問題。
  4. It is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems

    在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢，但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重，並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重，而且降低了估算誤差，具有及時應用最新數據學習的能力.此外，該方法易於在直升機設計系統中得到應用
  5. Jacobi iteration method and its generalization

    方法及其推廣
  6. Literature search is the major method of the research. on technique, it selects typical events that can form some units by time, through which we can investigate cross - sections of reading - education conceptions, and then outspread and recount them by exemplification and generalization, in part and in whole. it tries to comment by material and avoid remarking on empty

    本論文的研究方法主要是歷史文獻研究法，在技術上，以時間為經線，切取有代表性的事件組成時間單元，對有影響的閱讀教學觀念思想作橫斷面研究，然後用例舉和概括方式展開敘述，點面結合，用材料說話，避免空洞議論。
  7. Neural network method has generalization capability, and is widely used in pattern recognition. generalization means : trained with a training examples set, the network can also recognize examples never met before

    神經網路的泛化能力是指:用一組訓練樣本對神經網路進行訓練后，網路對訓練階段未曾見過的樣本也能正確分類。
  8. We discussed the main characteristic parameters of seismic kinesiology and dynamics of mine engineering fracture zone, including relative amplitude, phase time of wave crest, similarity factor, principal frequency band energy, 3 - d space time gradient and coherent coefficient et al., and puts forward the processing method of 3 - d seismic characteristic parameters about denoise - smoothing, generalization, correlation analysis, characteristic transformation ; and presents the method of pattern recognition of mine engineering fracture zone

    摘要本文從時間域、頻率域、三維空間域介紹了礦山工程裂隙破碎帶主要的地震運動學、動力學屬性參數，包括相對振幅、波峰相位時間、相似系數、主頻帶能量、二維空間時間梯度和相干系數等，提出了礦山工程裂隙破碎帶三維地震屬性的去噪平滑、歸一化、相關分析、特徵變換的處理方法以及裂隙破碎帶的模式識別原理與方法，並用實例說明了該方法的應用效果。
  9. 3. the modeling method based on mechanism analysis and identification method always exits unmodeled high - order part and the modeling method based on neural networks usually has not good enough generalization capability. we fuse above two kinds of modeling method and put forward a hybrid modeling method based on mechanism analysis, identification and rbf neural networks. this paper proposed a hybr id modeling method based on mechanism analysis, identification and rbf neural networks. first, get a object ' s low - order model by the mechanism analysis and identification method. second, adopt rbf neural networks modeling method to compensate unmodeled high - order model. the sum of the low - order model and high - order model is the hybrid model. this kind of hybrid model has more accuracy than a model based on mechanism analysis and identification and has more generalization capability than a model based on neural networks

    針對基於機理分析和辨識的建模方法總是存在未建模的高階部分，精度不夠高和神經網路建模方法泛化能力差的缺點，將這兩種建模方法進行融合，提出基於機理分析、系統辨識和rbf神經網路的混合建模方法，首先採用機理分析和辨識的方法得到工業對象的低階模型，再用rbf神經網路建模方法補償未建模高階模型，這樣得到的混合模型，比單純基於機理分析和辨識的建模方法具有更高的精度，比單純的神經網路的建模方法具有更好的泛化能力。
  10. Research about the deadlock detection method experienced a long time. ac - cording to the resource requirement types of the processes, the distributed computa - tion models can be divided into single resource model, and model, or model and and - or model. generalization of these models is stronger gradually and the dead - lock topologies of these models are single cycle, cycle and knot respectively

    對分散式死鎖檢測演算法的研究由來已久，根據進程對資源的需求條件不同，分散式計算可以被分為單資源模型、 and模型、 or模型以及and - or模型，這些模型的通用性逐漸增強，它們在系統等待圖中所產生的死鎖拓撲結構相應地表示單環、多環和結（后兩種模型都為結） ，學者們對各種演算法的研究過程也是按著這個拓撲結構的順序展開的。
  11. With an eye to the large space of the state and action, the notions of “ generalization of state ” and “ generalization of action ” are defined, which are used to cut short the state space. since every agent can get similar experiences while learing, a experiences sharing method is proposed to improve the efficiency of learning in this method. however, by using the tsgs - based framework, macrl - japs is proposed. on the purpose of solving the multi - equilibria problem in games, the notion of japs is brought in. this method can ensure the agent to exactly predict the actions of others, and then to achieve the same optimal equilibrium selection

    Macrl - cc在對系統目標的特性進行分析的基礎上，將系統目標進行分解，並採用基於承諾和約定的協作方法實現agent的協作求解;考慮到狀態行為空間可能很大的問題，提出了狀態和行為的泛化的概念，對狀態空間進行了縮減;針對agent在求解過程中學習到的經驗知識的相似性，提出了經驗知識共享的方法以提高學習效率。
  12. Analysing circle characters and the feasibility of using it to quality assessment of point group generalization, a new method of assessing point cluster geometry quality is developed based on the technique of polarization transformation

    摘要分析圓特性及其運用到點群綜合質量評估中來的可行性，提出一種基於極化變換的點群幾何質量評估方法。
  13. 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。
  14. Data generalization is a kind of data model in knowledge mining. fuzzy entropy and fuzzy modifying bayesian method are used to generalize the trouble diagnosis data in fms

    採用基於模糊熵的最大增益和模糊修正貝葉斯的類屬演算法，計算fms的故障分類問題，說明了知識挖掘的數學過程。
  15. On the ground of analyzing daqing communication station ' s management course, it is to deal with relations of inquiry method ' s generalization, complexity and automation. the system can meet all kinds need of inquiry, and establishes base to obtain information effectively and precisely

    在詳細分析大慶通信站業務管理內容和過程的基礎上，著重解決查詢方法的綜合性、復雜性與智能性的關系，設計了能夠滿足實際需要的各種查詢功能系統，為高效、準確的獲得數據和信息奠定了基礎。
  16. The process described in this section is a generalization of newton's method for a single equation.

    本節所敘述的是對單個方程的牛頓方法的一般化。
  17. The author studies the implementation of this measure in the western regions by the western han and the generalization of han - style name by the eastern han, discusses the adoption method of han - style name in the western regions and explores the spreading and rooting of the family name concept of inland china in the western regions

    認為王莽于西漢元始二年（ 2年）操作實施的「去二名」改制措施，是導致以後西域人改用漢式名字的直接原因；論證和復原了西漢曾經在西域實施過「去二名」措施以及東漢繼續在西域推行漢式名字的史實；討論了有關西域有關人採用漢式名字或姓名的模式問題；探討了來源於漢地的姓氏觀念在西域的植入和生根的軌跡。
  18. In this article, the author study the short - term optimization dispatching of cascaded hydropower in order to get a practicable mathematical model and arithmetic. basing on deep analysis and generalization of yilihe cascaded reservoir, the author set up a short - term dispatching mathematical model and an inner - plant economical operation model to simulate the real operation process. dynamic programming method ( dp ) is effective to solve the several problem and discrete differential dp ( dddp ) is a reduce dimension tool

    本文緊密結合雲南省境內的以禮河梯級水庫的工程實際，在對其進行深入分析和概化的基礎上，建立了反映實際問題特點的梯級電站短期調度模型和廠內經濟運行模型，動態規劃方法以其擅長求解多階段決策過程問題而被本文選為優化工具，由於dddp的降維效果顯著，從而使動態規劃在本研究模型中得以運用。
  19. The thesis assumes these research methods : document investigation method, logical deduction method, generalization method and demonstration method

    在研究方法上，本文綜合應用了文獻調查方法、邏輯推理方法、歸納總結法和實證法。
  20. In this paper, we firstly present the whole framework of the system, including the introduction of the main functional module. next, in the part of data preprocessing, we design a method of collecting click - stream data in the application server layer and preprocessing them with real time ; in the part of data mining that is data analyzing, we research and implement an extended attribute - oriented induction algorithm which applies to data generalization analysis, and that, we also design and implement an hybrid - dimensional association rule mining algorithm for associative analysis. in the end, on the e - business web site system of jiangsu changjiang electronic group corp, we design and implement an intelligent dss ( idss ) with the help of the above algorithms

    論文首先給出了系統的整體框架體系結構設計，以及主要的功能模塊介紹；接著，在數據預處理部分，設計了在應用層收集點擊流數據並且對其進行實時預處理的方法；在數據挖掘即數據分析部分，研究與實現了用於數據概化分析的面向屬性規約的擴展演算法，以及設計並實現了用於關連分析的混合維關聯規則挖掘演算法；最後，在江蘇長江電氣集團的電子商務網站系統上，利用已分析的演算法設計並實現了一個智能決策支持系統。
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