threshold network 中文意思是什麼
threshold network
解釋
閾電路-
Output can be obtain, next we use our designed the wavelet soft threshold to select result of the wavelet transform, finally, we give the selected result reversal wavelet transform. it is obvious : the wavelet soft threshold is important to improve the quality of the gray image processing. i give the donoho wavelet soft threshold a modified value method, which has a relation with ratio of signal - noise. i made full use of discrete hop field single feedback neural network, and nonlinear steady of automatic system at last, i obtained a steady limited ring, give the energy function an order differential a optimal
我的思路是：改造現有圖形結構，先建立能反映信噪比大小且含待定參數k的表達式，然後通過離散型h0pfi舊單層反饋神經網路，再結合前邊的混合濾波器構成一個非線性控制系統，寫出對應的網路函數，利用相平面法和李雅普諾大穩定性的判據，得到一個穩定的極限環，從而確定出參數卜的范圍，進而再對原來的小波軟閾值進行修正，用修正後的值作為小波閾值。 -
This thesis explains the necessity of the character recognition technology of the computer at first, describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition, including two value, line segmentation, word segmentation smooth, removing noising, standardization and thinning are discussed two value concretely discusses whole threshold value, some threshold value, dynamic threshold value and utilize space information to carry on threshold, which are several kinds of common method of choosing threshold value, especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology, thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards, according to principle ' s diagram of the on - line character recognition, by analyzing the structure feature of the handwritten numeral, this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device. detail narrated noise removing, stroke characteristic definition and discernment, distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation, off - line handwritten numeral recognition is researched. especially minimum distance classifying device, tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time, believes degree analyses are introduced to integrate a lot of classifying devices ; at the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored
二值化時對整體閾值二值化、局部閾值二值化、動態閾值二值化和利用空間信息進行閾值選取幾種常用的閾值選取方法進行討論，特別對利用空間信息進行閾值選取進行了詳細論述；在對通過對基於數學形態學的細化的基礎上，討論序貫同倫形態細化演算法和保形的快速形態細化演算法；然後依據聯機字元識別原理框圖，分析了手寫數字的結構特點，提出了基於筆劃特徵的任意手寫數字在線識別技術和基於多級分類器任意手寫數字在線識別技術，對其中涉及的筆劃識別前的噪聲處理、筆劃間特徵量的定義及識別、整字匹配的距離準則進行了詳細敘述；繼而在對手寫數字的分割的基礎下對脫機手寫數字識別進行了研究，對基於最小距離分類器字元識別、基於樹分類器的字元識別、基於自適應共振（ art ）網路的字元識別分別進行了詳細討論，並引入置信度分析將多個分類器進行了混合集成；最後簡單闡述了手寫數字識別的典型應用，對其在大規模數據統計、財務、稅務、金融及郵件分揀中的應用進行了探索。 -
The paper emphasesd on the following issues : integrating network topology automatic discovery and network performance monitoring into an uniform web environment via activex control technique. constructing a hierarchic network monitor system based on distributed data replication technology via sql server replication function. analysising the relation between network usability, error and discard rate consequently to find out a formula, which can be used to calculating the congestion likelihood and setting the threshold for alerting the congestion situation
論文重點論述了以下幾個問題：採用控制項技術，使網路性能監視、網路拓撲的自動發現集成在統一的web平臺上；運用sqlserver的復制功能，構造一種基於分佈數據復制技術的層次式網路監視系統；對網路利用率、出錯及丟棄百分比信息進行分析，找出它們在推算擁塞可能性時的量化公式，並應用於閥值設置，以實現對擁塞可能性進行預警；研究分析在不同范圍內的拓撲發現工具及演算法，並針對系統需求設計實現一種域內分級式網路拓撲發現演算法。 -
To analyze some key technologies of optical network relative with rwa in detail, such as transmission, switching and internetworking ; to emphasize on the research of function, fabric and performance of optical cross - connection ; to carry out numerical simulations for crosstalk introduced by optical cross connect and to present measurements for suppressing it such as doubly filtering, fixing optimum decision threshold and appropriately choosing the number of multiplexed wavelengths ; 3. to research the fundamental principle and some problems relative with rwa, including the type of optical network, the type of traffic, the type of service, the survivability of optical network ; to classify and compare rwa algorithms and particularly research some dynamic rwa algorithms ; 4. to present reserved light - path and classify network resource such as used, unused and reserved status, to emulate establishment of all - optical connection in optical network through modified rwa algorithm and show effectively reducing setup time of all - optical connection utilizing reserved light - path ; to research rwa algorithms of multi - fiber network, to present new link weight functions dependent on node degree, unused fiber ( s ) per wavelength - layer and routing policies, to perform emulation of rwa based wavelength layer graph applying new link weight functions and show them make algorithms better performance and network lower blocking rate ; 5
詳細分析了與rwa相關的光網路關鍵技術，包括傳輸、交換、組網等，重點研究了光交叉連接的功能和結構、性能，對其引入的串擾進行了詳細分析，選擇恰當的器件參數進行了數值模擬，並提出了抑制措施（如雙重濾波、優化判決門限、選擇恰當的復用波長數） ; 3 .研究了光網路的r認叭的基本原理、與r認叭的幾個相關問題（光網路類型、業務類型、流量類型、光網路生存性） 、 r認人演算法的分類和比較，具體研究了幾種動態r場人演算法; 4 .研究了以全光連接建立時間為優化目標的r認認演算法，提出預置光路的概念，對網路資源進行狀態分類（佔用、未佔用、預置） ，利用改進的r認叭演算法模擬，預置光路可為部分新到的連接請求快速建立連接，從而提高網路性能;研究了以多光纖網路連接阻塞率為優化目標的r認城演算法，提出了以節點度數、每個波長分層的空閑光纖數以及路由策略決定的幾種鏈路權重函數，利用基於波長分層圖模型的并行r場人演算法模擬，利用新的鏈路權重函數使得演算法具有更優的性能，使網路具有更低的連接阻塞率。 -
A drainage area threshold is used to produce a continuous network, so that different network is obtained for varying drainage area threshold
為了得到連續的河網，方法中引入了匯水面積閾值的概念，但對于同一流域，利用不同的匯水面積閾值將得到不同的河網。 -
To solve these problems respectively, the color space transformation and bp neural network are firstly used to realize the classification and threshold processing of images. then the images processing including thinning, interval linking, code word chaining, seed filling, boundary fitting is performed well by some methods in mathematical morphology and computer graphics and interpolation in numerical value analysis
為了逐一解決這些困難，運用了色彩空間變換以及bp神經元網路的方法對圖像進行分類和閾值處理，利用數學形態學和計算機圖形學以及數值分析中的插值等方法對圖像進行了細化、間隙連接、鏈碼、種子填充、邊界擬合等處理。 -
Dstmedia ceo and founder xiong sheng feng will become a vice president of polycom and general manager of dst, a wholly owned subsidiary of polycom, reporting to hans schwarz, executive director of china, senior vice president, technology and cto of polycom. morgan stanley acted as financial advisor to polycom in the transaction. " dstmedia is an impressive early - stage company that has already gained a leadership video network position in china and japan and has crossed the threshold of over one million dollars in quarterly revenues, said bob hagerty, chairman and ceo of polycom
最初的tvs1 . 0是單點模塊式結構，功能單一，是標準4u機架式設備tvs2 . 0為嵌入式結構，設備分為兩款產品，分別是4埠和8埠，增加了分屏模式和可調中文字幕，設備改為2u機架式設備tvs3 . 0設備起，分為「神鼎」和「視鼎」兩個系列共4款產品， 「神鼎」添加單獨的交換設備后可以全面兼容市場中所有視頻廠家的mcu設備tvs4 . 0設備對外觀進行了改進，所有硬體設備都集成在2u機箱中，操作軟體更加簡潔實用美觀。 -
( 4 ) since there is no perfect theoretical guide, the characteristics of orthogonal wavelet, semi - orthogonal wavelet and biorthogonal wavelet in signal decomposition and reconstruction are compared, and the conclusion of the study demonstrates that semi - orthogonal wavelet is a good wavelet for fault diagnosis in tilting control system of tilting train. a new approach is presented for deciding the fault threshold. ( 5 ) a generalized wavelet neural network is put forward by integrating wavelet analysis with neural network
（ 4 ）針對小波基的選擇缺乏完善理論指導的實際情況，通過對常用的正交、半正交、雙正交小波基提取信號特性的比較，確定出了適合擺式列車傾擺控制系統故障診斷的小波基? ?半正交小波基，並提出了一種新的確定故障檢測閾值的方法，可以快速地檢測出故障發生時刻。 -
A method is proposed, in which the relation between source density ( or drainage density ) and the threshold is used to produce an ideal drainage network, the area threshold when source density ( or drainage density ) show stability is reasonable
提出了一種方法，利用河源密度（或河網密度）與匯水面積閾值的關系，確定匯水面積閾值，當河源密度（或河網密度）趨于穩定時對應合理的面積閾值。 -
Thirdly, the weight and threshold of bp neural network model was optimized by genetic algorithm ( ga ), which has stronger macroscopic search and global optimization property, based on bp network model of the preparation of superfine quartz powder. this model is named ga - bp, and improves the generalization capability and the parameters forecast precision of bp network model, and was proved to be correct by both theoretical analysis and experiment
再次，本文以粉石英制備的bp網路模型為基礎，利用遺傳演算法（ ga ）較強的宏觀搜索能力和良好的全局優化性能，對bp網路模型的權值和閾值進行優化，極大地提高了bp網路模型的泛化性能和參數預測精度，將經過ga優化后的bp網路模型簡稱為ga - bp網路模型。 -
With regard to the flow regulation of the best - effort traffic, the controllable traffic in high speed computer communication networks, the present paper proposes a novel control theoretic approach that designs a proportional - integrative ( pi ) controller based on multi - rate sampling for congestion controlling. based on the traffic model of a single node and on system stability criterion, it is shown that this pi controller can regulate the source rate on the basis of the knowledge of buffer occupancy of the destination node in such a manner that the congestion - controlled network is asymptotically stable without oscillation in terms of the buffer occupancy of the destionation node ; and the steady value of queue length is consistent with the specified threshold value
本文從控制理論的角度出發，針對計算機高速網際網路中最大服務交通流即能控交通流的調節問題提出了一種基於多速率采樣的具有比例積分（ pi ）控制器結構的擁塞控制理論和方法，在單個節點的交通流的模型基礎上，運用控制理論中的系統穩定性分析方法，討論如何利用信終端節點緩沖佔有量的比例加積分的反饋形式來調節信源節點的能控交通流的輸入速率，從而使被控網路節點的緩沖佔有量趨于穩定;同時使被控網路節點的穩定隊列長度逼近指定的門限值。 -
Design the weight and threshold of artificial neural network based on the genetic algorithm
利用遺傳演算法輔助設計人工神經網路的權值和域值 -
Chapter five took advantage of synergetics theory to established an synergetic transportation model of logistics enterprise system in transportation network. control parameter threshold value equation was derived and we combined data of logistics enterprise ' s instance to writer a program to calculate numerical val
第五章應用協同學自組織臨界理論構建物流企業系統在物流網路區中的協同運輸模型，推出控制參量臨界值公式，然後結合實例分析得出的數據，編寫程序並計算出分叉點控制參量kc的數值，求出幾個主要的序參量之間的對應關系，為物流運輸調運決策提供依據。 -
Threshold for tia include threshold of los of the road network around the new development, the peak hour or daily traffic volumes threshold and the size threshold of new development
交通影響分析閾值（ thresholdfortia ）主要包括三種：建設項目周圍路網服務水平的閾值、建設項目在特定時間（高峰小時或全日）將產生的交通量閾值、建設項目本身的規模閾值。 -
Realization of improved bp algorithm - single output three layers " artificial neural network generator base on improved bp algorithm has been developed by the author, and the generator has some functions that the number of neuron in first and second layer and theirs related training parameters such as learning rate. momentum factor a and the value of sum error e can all be self - defined by the users ; connection weights and threshold in each layer ' s neuron training data and teaching signals can also be input or modified in the friendly interface
生成器功能是:網路結構中的第一、二層神經元個數和訓練參數中的學習速率粉，動量因子a和期望誤差值:可由用戶在一定范圍內自定義;各層的權值、閥值、網路初始樣本值及教師值可在友好的界面下輸入、修改。 -
The results of trial indicate classification models constructed by this set of features can find an obvious threshold to distinguish between a normal network activity and an abnormal one. so the anomaly classification model offered in this thesis has better performance of detection
通過大量的實驗，表明應用我們所提出的基於網路連接記錄異常檢測分類模型的構建方法，能夠以較為明顯的閾值把正常網路活動與異常網路活動區分開，因此，本文提出的異常檢測分類模型具有較好的檢測性能。 -
In this paper, a general dynamical fuzzy neural network model ? fuzzy hopfield networks with threshold is developed, which is based on the fuzzy operator composition of max ( ) and weakly continuous t - norms. it is shown that the model is global stable with the hamming distance, and its equilibrium point ( attractor ) is lyapunov stable. finally, a simulation example is employed to demonstrate our conclusions
模與取大（ ）模糊運算元的復合，建立了具有一般意義的動態模糊神經網路? ?帶閾值的模糊hopfield神經網路，並系統分析了該動態系統的性能:在hamming距離意義下證明了該網路是穩定的，而且其平衡點（吸引子）具有全局lyapunov穩定性。 -
It mainly expatiates the daily examining schedule, monthly examining schedule, yearly examining schedule, new facility for use, schedule for running threshold requisition of relay protection, and then puts up the collectivity designing via hipo ( hierarchy plus input, process, output ) figure. interfaces is very important for any system. a system with no interfaces is lone. this paper discusses the interface scheme, lodging five ways : network programming, directly accessing the table of the data source database, text file, http, transmitting data through the serial interface of computer. at last this paper lodges the interface schemes of dmis aiming at the instance of chongqing power dispatch and communication central : network programming, text file, http with ems ( energy management system ) and directly accessing the table of the data source database, http with ebs ( energy business system )
本文對介面方案進行論述，提出了五種介面方案：網路編程、直接訪問數據源的數據庫表、形成文本文件方式、超級鏈接方式、數據通過計算機串口進行轉發，並針對重慶電力調度通信中心的具體情況提出了dmis的介面方法：與ems （ energymanagementsystem ）的介面採用網路編程、形成文本文件方式、超級鏈接方式，與ebs （ energybusinesssystem ）的介面採用直接訪問數據源的數據庫表、超級鏈接方式。 -
Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network
然後，分析和闡明了傳統的運動目標檢測方法的不足，並在此基礎上結合研究中的實際實驗環境，提出了一系列解決方法，包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法，針對實驗環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法，為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插值進行畸變校正的方法；緊接著，概述了神經網路的發展歷史和幾種常用神經網路模型的特點，重點研究了前饋型神經網路在模式識別中的應用問題，詳細闡述了基本的bp演算法和學習過程中bp演算法的改進，從而使網路收斂速度更快，解決問題更有效，並在此基礎上，設計了一個基於bp神經網路的運動目標識別系統，給出了實驗結果。 -
While in the stage of document classifying, nntcs inputs feature vectors of the document to be classified, runs network with fixed weights, then compares the output with the predefined threshold to judge the class of the unlabelled document
而在文本分類的時候，輸入待分類文檔的特徵向量，運行固定權值的網路，得到的輸出值與閾值比較確定類別。
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