隱層理 的英文怎麼說
中文拼音 [yǐncénglǐ]
隱層理
英文
cryptic layering-
This paper explores and discusses the national implied cultural features of chinese argot jargon in naming motivation from the three aspects of concrete thought mode, totem and phallic psychology, orthodox cultural consciousness, to start with the relation between language and folklore
摘要從語言與民俗文化的關系入手，從具象思維方式、圖騰與性生殖崇拜心理、正統文化意識等三個層面對漢語隱語行話在命名理據中所蘊含的民族隱型文化特徵進行了發掘與探討。In algorithms, classification algorithms are divided into two cases : one for known statistical distribution model and the other for unknown statistical distribution model. four classification algorithms, the bata - prime statistic model fusing quadratic gamma classifier, based on sar image rcs reconstruction and space position mode, on the mixed double hint layers rbfn ( mdhrbfn ) model and on the self - adapt fuzzy rbfn ( afrbfn ) model, are derived. the problems, including how to further improving the class ratio of the bayes decision, decreasing the dependence on the statistical model and directly providing the adapted algorithm with samples, are solved
提出了基於徑向基函數神經網路（ rbfn ）的雙隱層混合網路（ mdhrbfn ）模型，解決了標準神經網路在具體sar圖像地物分類中分類類別數目不夠和分類精度差的問題；提出了基於模糊推理系統的自適應模糊rbfn分類（ afrbfn ）模型，兼顧通用性與精確性，增強人機交互能力，進一步提高了演算法分類率。However geological information is fully recorded in the remote sensing image, which made it possible for the choosing of this area as a dissection point to extract complex structural information of orogenic belt in west china. taking fully advantage of multi - band image richly bearing concealed geological information in combination with remote sensing analysis and structure analysis, to anatomy the supracrustal composition and structure of orogenic belt with the regional linear structures and their partitioned block and schistous geological masses as the macro - frame ( in corresponding to structure units and structure segments ) and with the rock masses, structure - rock assemblages, line - featured and belt - featured structures as well as penetrative and non - penetrative foliation ( primary stratum and trans position layering ) and folds as the texture and structure elements. the methods of how to distinguish granulite > ductile - shear zone, imposed fold, different deformed belts -
因而，本文選擇這一地區作為我國西部地區從遙感圖像上提取造山帶復雜結構構造信息的解剖區，充分利用遙感圖像多波段反映物質屬性的特點和圖像處理提取隱含信息的優勢，採用遙感解析?構造解析相結合的研究方法，以區域線狀構造及由它劃分的塊狀、片狀地質體為宏觀骨架（對應于構造解析劃分的構造單元、構造均勻區段） ，以地質體中的巖石巖體、構造巖石組合，線狀、帶狀構造，透入性、非透入性面狀（原始層理、新生面理）和褶皺等構造作為用於解析的結構構造要素，進行造山帶表殼組成和結構構造解析研究。The second part analyze the direct causes of enron ' s abrupt collapse and probes into the set up of special purpose entities of hiding debts and counterfeit increase of income and profits, which received wide criticism from the investors, and the relevant transactions which caused the financial crisis of the company and resulted in the sharp shrink of its stock price and degradation of credit to junk bond
內容涉及被投資者普遍指責的用於隱藏債務、虛增收入及利潤的特殊目的實體的搭建，以及觸發安然公司債務危機並由此導致其股價巨幅縮水、信用等級被降至垃圾級的關聯交易。第三部分從安然的發展戰略、企業文化、公司治理結構等方面分析安然失敗的深層次原因。Thus this paper puts forward the dynamic time series period analysis and prediction model. it combines the basic principle of the stepwise regression period analysis to the multiplayer - transfer method. it can not only effectively select every latent period of a time series, but also take advantage of the selected latent periods to make a long - term prediction
因此本文提出了動態時間序列周期分析預測模型，它是將多層遞階方法與逐步回歸周期分析的基本原理相結合，使之既可以有效地選取時間序列的各個隱含周期，也可以利用所選取的隱含周期作較長的時間預測。As a simulacrum of the country revolution, zhou li - bo ' s novel, the tempest, connotates interactive ideology elements, which indicate complicated discourse pattern in three aspects : the society, the people, and social psychology
摘要作為鄉村革命的仿像， 《暴風驟雨》的文本深層隱含著相互作用的多種意識形態因素，使文本在社會重構、 「新人」的重塑、社會心理重組等層面呈現出復雜的話語形態。3 ) pca - bp, the approach combining statistic theory and neural network technique, is systematically analyzed. ad hoc approaches for choosing some key parameters of the model are presented
3 ）本文在系統分析了基於pca - bp的建模原理后，對人工神經網路模型的關鍵參數即隱層節點數的確定作了較為深入的探討，總結出了比較有效的取值方法。This paper first introduces halliday ' s grammatical metaphor, especially different types of ideational metaphor in scientific discourse, and then applies them to analyzing six samples of scientific discourse which serve different kinds of readers
摘要重點分析了韓禮德提出的語法隱喻理論中的概念隱喻，並運用他在1999年總結出的科技語篇中概念隱喻類型分析了三類面對不同層次外語學習者的科技語篇。In course of training the network, the structure of the network has been analysed. using the nonlinear theory, the node of the hidden layer is ascertained. by comparing this method is very efficient
（ 5 ）在網路訓練過程中，對神經網路結構進行了分析，建立了計算輸出和理想輸出關系非線性方程組，依據非線性方程理論闡述設計變量、樣本數量和輸出層單元數量的關系，確定了隱層神經元的數量，經比較該方法很有效。The number of the hidden layers of mul - tilayer perceptrons ( mlps ) is analyzed, and three - layer perceptrons neural network is adopted ; by analyzing the mechanism of the neural cells in hidden layer, a method for combining genetic algorithm and bp algorithm to optimize the design of the neural networks is presented, and it solves the defects of getting into infinitesimal locally and low convergence efficiently, it can also solve the problem that it can usually obtain nearly global optimization solution within shorter time through using genetic algorithm method lonely ; several examples validate that this algorithm can simplify the neural networks effectively, and it makes the neural networks solve the practical problem of fault diagnosis more effectively
對多層感知器隱層數進行了分析，確定採用三層感知器神經網路;通過對隱層神經元作用機理的分析，引入了遺傳演算法與bp演算法相結合以優化設計神經網路的方法，有效地解決了bp演算法收斂速度慢和易陷入局部極小的弱點，還可以解決單獨利用遺傳演算法往往只能在短時間內尋找到接近全局最優的近優解的問題;通過實例驗證了這種演算法能夠有效地簡化神經網路，使神經網路更加有效地解決實際的故障診斷問題。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。Normal bp algorithm can be used in many fields and resolved many practical problems, however, normal bp algorithm has many limitations such as it ' s easy to fall into the local minimum in the course of convergence, its " convergent speed is very slow, the method which set the structural parameter and the operational parameter has n ' t be widely accepted, and so on
標準bp演算法應用甚廣，解決了許多的實際問題，但同時它也存在著諸如在收斂過程中容易陷入局部最小點、收斂速度很慢以及網路的結構參數（隱層數、隱層單元）和運算參數（步長、非線性函數的選擇）等都尚無公認的理論指導等問題。The purpose of this thesis is to use artificial neural networks ( ann ) to identify the aerodynamic parameters. first introduced in this paper is the basic theory of ann and wind engineering in bridge, then ann is presented to identify the aerodynamic derivatives of ideal thin plate. a back - propagation ( bp ) ann is established and trained for many times to contrast the influences of some factors on the prediction results
首先對人工神經網路和橋梁風工程的基本理論作了簡單的介紹，接著採用人工神經網路識別了理想薄平板的氣動導數，並分析了數據處理方式、隱層單元數、訓練次數、隨機賦值次數、樣本數量對訓練結果的影響，討論了訓練的穩定性。These are employed for constructing and configuring fuzzy neural network, where the number of neurons of hidden layer of network is equated to the number of rules and the initial weights of network are configured by above factors
首先利用粗糙集理論對樣本數據進行初步規則獲取，並計算規則的依賴度和條件覆蓋度，然後根據這些規則進行網路設計，其中，網路隱層節點的數目等於規則的數目，初始網路權重由規則的依賴度和條件覆蓋度確定，最後用遺傳演算法對模糊神經網路參數進行優化。The influence to the training circle times with number of hiding layer node 、 learning rate etc are discussed during the course of samples training. by comprehensive analyses and comparing, the comparatively rational value is adopted to be network ' s parameters
本文在制粉系統故障及其相關故障診斷樣本訓練過程中，分析了隱層節點數、學習率等因素對網路訓練速度的影響，為網路參數合理選取提供了依據。This article proposes in order to quickly hidden processing is carried on to multi concavo - convex polyhedron, the hierarchical structure is applied to carried on description on topo relations of three dimensional physique ; the bidirectional link table is applied to carried on the dynamic node assignment, for enhancing the efficiency of the algorithm ; when multi three - dimensional body is being hidden processing, the screen projection polygon should be carried on the overlaped eliminating confirmation and the polygon edges be carried on the computation of the intersectant points, the depth inspection, the comprehensive test and so on
摘要文章提出一種對多個凹凸形多面體進行消隱處理演算法，並介紹了採用層次結構進行三維形體的拓撲關系描述；採用雙向鏈表進行動態結點分配的演算法，提高了演算法效率；對多個三維物體消隱處理時，進行屏幕投影多邊形的重疊排除驗證，對多邊形邊進行交點計算，深度檢查，包容性測試等。The paper improves the network by the ways of preprocessing and post - processing and uses the network with 2 middle layers
為此，本文通過對網路進行前、后處理並採用了雙隱層的網路結構。After designing the hidden - layer structure of network, the neural network data - mending program is developed with matlab, and with the contrast of results gained from single and double hidden - layer the number of hidden - layer is selected. after the training algorithm is studied, using the visual application - designing tool, visual basic, the application adopting the designed algorithm is developed. with plenty of experimental study, the node number of the hidden - layer is decided and the rational algorithm is designed, which can advance the speed of training network, and decrease the probability of running into the local teeny value
在研究網路隱層結構后，用matlab編制了神經網路修補程序，對比單雙隱層結構的修補結果，確定了修補用bp神經網路的隱層數；在研究網路訓練演算法后，利用可視化應用程序開發工具visualbasic ，編制了相應的應用程序，通過大量的實驗研究，確定了網路隱層節點數，設計了合理的網路訓練演算法，提高了網路的訓練速度，減小了網路訓練陷入局部極小的可能性。When using bp neural network deals with the data of the big numerical value like cost, using common methods of changing concealed node number etc. do n ' t improve the things that the simulated curve is low precision or transpires. so data processing course of network is investigated. a new data processing method is advanced to apply graphics zoom theory
在用bp神經網路進行建模的過程中，發現對處理費用這種大數值數據時，採用通過改變隱層節點數等常用方法，都無法改善擬合的曲線精度低或出現發散這樣的情況，為此通過研究網路的數據處理過程，提出了一種在網路運行前後應用圖形圖像縮放原理來對數據進行處理的新方法，實例證明了該方法的可行性和有效性。Moreover, other networks, such as function networks, have appeared. they work on the same principle of neural networks. but they can choose different functions for hiding layer, so they can approach chaos easier
神經網路控制結構及自身演算法的改進是今後研究的熱點，模擬神經網路的工作原理而出現的其他網路：如函數網路等，由於隱層函數選擇范圍的擴大，能更容易的實現混沌系統的逼近，也代表了神經網路應用於混沌系統的一種發展方向。分享友人