noise network 中文意思是什麼

noise network 解釋
噪聲網路
  • noise : n 1 聲音，聲響。2 叫喊；嘈雜聲，噪音；喧鬧聲；吵鬧，騷動，騷擾。3 〈古語〉謠言，風聲。4 〈美國〉...
  • network : n. 1. 網眼織物。2. （鐵路、河道等的）網狀系統，網狀組織，廣播網，電視網，廣播[電視]聯播公司。3. 【無線電】網路，電路。4. 【計算機】電腦網路，網。
  1. 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。
  2. In the paper, diffuse channel characteristics is studied, multiple dispersion and background noise is detailedly analyzed, based on which the network buildup and protocol structure are analyzed

    在通道研究的基礎上，分析了無線光局域網的組網原理和協議結構。為實現無線光室內組網提供了解決方案。
  3. The basic characteristics of the current data network are point - to - point, connectless, doing one ' s endeavor, no quality of service, etc. these characteristics do not meet the requirement of real - time services, therefore, the realization of voip need support of the some key technology. these technologies includes : speech sound coding and data compression, real - time transmission and control, mute compression and multicast, acoustic - echo cancellation and comfort noise generator, dynamic monitor and guarantee of quality of network service, as well as, the compatible of different network and different protocol with each other

    但現有的數據網路的基本特性：點對點的、無連接的、盡力而為的、沒有服務質量保證等特性並不適合與實時的業務要求，因此voip的實現需要一些關鍵技術的支持，這些技術包括：語音編碼和壓縮技術、實時傳輸和控制技術、組播技術、靜音壓縮和舒適噪聲生成技術、回聲消除技術、網路服務質量的動態監測和保證技術、以及不同的網路、不同的協議之間的互連互通等等。
  4. Compared with the classical bp algorithm, robust adaptive bp algorithm possesses some advantages as following : ( 1 ) increasing the accuracy of the network training by means of using both the relative and absolute residual to adjust the weight values ; ( 2 ) improve the robustness and the network convergence rate through combining with the robust statistic technique by way of judging the values of the samples " relative residual to establish the energy function so that can suppress the effect on network training because of the samples with high noise disturbances ; ( 3 ) prevent entrapping into the local minima area and obtain the global optimal result owing to setting the learning rate to be the function of the errors and the error gradients when network is trained. the learning rate of the weights update change with the error values of the network adaptively so that can easily get rid of the disadvantage of the classical bp algorithm that is liable to entrap into the local minima areas

    與基本bp演算法相比，本文提出的魯棒自適應bp演算法具有以下優點： （ 1 ）與魯棒統計技術相結合，通過訓練樣本相對偏差的大小，確定不同訓練樣本對能量函數的貢獻，來抑制含高噪聲干擾樣本對網路訓練的不良影響，從而增強訓練的魯棒性，提高網路訓練的收斂速度； （ 2 ）採用相對偏差和絕對偏差兩種偏差形式對權值進行調整，提高了網路的訓練精度； （ 3 ）在採用梯度下降演算法對權值進行調整的基礎上，通過將學習速率設為訓練誤差及誤差梯度的特殊函數，使學習速率依賴于網路訓練時誤差瞬時的變化而自適應的改變，從而可以克服基本bp演算法容易陷入局部極小區域的弊端，使訓練過程能夠很快的「跳出」局部極小區域而達到全局最優。
  5. Impulse noise filter based on fuzzy neural network

    基於模糊神經網路的脈沖噪聲濾波器
  6. Meanwhile, on the basis of the network topology this paper detailedly states the formation of funneling effect and origin of funneling noise, and also demonstrates its huge damage to network

    漏斗噪聲的根源就在於網路的樹狀拓撲結構，並指明了漏斗噪聲可以對網路造成巨大的危害，嚴重的時候使得網路無法正常運行。
  7. It is evident from figure 42 that if a ground network contains loops there is a greater danger of it being vulnerable to emfs induced by external magnetic fields, and of ground current ' escaping " from high current areas to cause noise in sensitive regions

    從圖11 . 42可見，如果存在地線迴路，外界磁場切割地線迴路時容易出現感生電動勢，大電流電路會「四處流竄」 ，影響精密電路。
  8. 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。
  9. On the basis of analysing multilayer forward artificial neural networks which based on back propagation algorithms and basic principles of the adaptive noise cancellation system, this paper sets up an adaptive noise cancellation controller based on artificial neural network, which is proved to be more efficient in the noise cancellation and has robust performance based on simulink of matlab at the end, this paper proposes some advices of model and algorithms

    在對基於誤差反向傳播學習演算法的多層前向人工神經網路進行分析基礎上，結合傳統自適應噪聲抵消系統基本原理，建立了基於人工神經網路的自適應噪聲抵消器，經基於matlab的simulink模擬實例證明，具有很強的噪聲濾除能力和魯棒性。最後並提出了網路及演算法進一步改進的方法。
  10. Detection of lung cancer in x - ray radiography with strong noise using artificial neural network

    線圖像中癌變病灶信息的人工神經網路檢測
  11. A multiuser detection method based on adaptive wavelet network is proposed. this method can effectively eliminate mai and white noise. a novel space - time matched filter combined with adaptive wavelet network in asynchronous multipath cdma channels is proposed

    提出了基於自適應子波網路與空時匹配濾波方法，這種方法使用子波網路對陣列天線波束形成之後的輸出進行后續處理，是一種單用戶的檢測方法。
  12. The paper forms the three information measures into measure vector as the input of cmac - cerebellar model articulation controller neural network and proposes a method of edge detection based on information measures and cmac. the edge contours generated by this method is very legible. the method has a high runtime performance and improves the resistance to noise

    本文將圖像的三個信息測度作為分量組成邊緣特徵的測度向量，作為小腦模型神經元網路? cmac的輸入，提出一種基於信息測度和cmac網路的邊緣檢測方法，用該法得到的邊緣輪廓清晰，實時性好，並且抗噪能力有明顯提高：將上述邊緣檢測方法應用於無人值守變電站，提出一種瓷瓶裂紋故障監控方案。
  13. First, the basic theory of the competitiveness is analyzed, evaluating indexes which conclude relative and absolute indexes basic on the last literatures are set up. second, because the data are too many and computing time is too long, the competitiveness of science and technology of 30 areas are clustered using fuzzy clustering model, the areas of the whole nation are clustered several kinds and we can draw some conclusions of same kind. evaluating the competitiveness using single model can produce white noise, so combinational models which concluding neural network, fuzzy theory and genetic algorithm are brought forward to evaluate the competitiveness of areas which are in the same kind with fujian province in the test

    本文首先分析科技競爭力的基本理論，並根據以往研究科技競爭力文獻，建立包含絕對指標和相對指標的評價科技競爭力評價指標體系，其次，針對評價福建省科技競爭力在全國范圍內的排名情況數據較多，計算時間較長的具體情況，利用模糊神經網路模型對全國30個省市自治區科技競爭力水平進行聚類分析，將科技競爭力水平接近的地區聚為一類，得出科技競爭力水平相近地區情況，而後，針對已有文獻科技競爭力評價只是利用單一模型可能產生噪聲，影響評價結果，並且主觀性較強的缺點，本文將神經網路、模糊數學、遺傳演算法等智能演算法組合，利用組合評價模型對福建省和與福建省同在一類的其它地區的科技競爭力水平進行橫向、縱向評價，得出福建省在全國范圍內的科技競爭力水平排名。
  14. Jdy - 280 electromagnetic lock with led product characteristic : easily installed, low noise and durable ; strong magnetic force, no magnet left when power off with led and network signal output built - in reverse wave protection function usage range : be used with intercoms and access control systems can be installed onto wooden door, metal door, glass door, fireproof door function : working voltage : 12vdc, 24vdc working current : 12vdc 0. 53a, 24vdc 0. 27a working condition : 40 50 working mode : cut off power to open wires are insulated, dc500v absolutely insulated in 1 minute. dimension of the magnet board : : 184 x 36 x 11mm dimension : 235 x 45 x 30mm weight : 1980g yiwu qimingxing computer company copy right

    Jdy - 280磁力鎖帶指示燈產品特性:安裝方便噪音低壽命長吸力強無剩磁內置反向突波保護功能適用於90開門，有門偵測信號帶鎖狀態指示燈及聯網信號輸出適用於樓宇對講門禁系統配套使用適用門型：木門金屬門玻璃門防火門電氣性能：工作電壓： 12vdc 24vdc工作電流： 12vdc 0 . 53a 24vdc 0 . 27a工作環境： 40 50工作方式：斷電開鎖鎖狀態有指示燈指示：鎖門時綠燈指示燈亮開門時，紅色指示燈亮絕緣電阻測試： dc500v 1分鐘無擊穿鐵板尺寸： 184 x 36 x 11mm外形尺寸： 235 x 45 x 30mm重量： 1980g
  15. In the thesis, we select the mel - frequency cepstrum coefficients based on analyzing a lot of parameters of speech signal. mel cepstrum is of better recognition and anti - noise capability. ( 2 ) dynamic time warping, vector quantization, hidden markov model and artificial neural network can be used in speaker recognition

    （ 2 ）現有的說話人識別方法有動態時間規整法、矢量量化法、隱馬爾可夫模型和神經網路法等，其中hmm已成為目前最佳的說話人識別處理模型。
  16. Research on forecasting model of incidence rate of deafness induced by instable state noise based on bp neural network

    基於人工神經網路的非穩態噪聲性耳聾發病率預測模型的研究
  17. Moreover, computer - aided design for power - line filter and discussion on implementation of intelligent equipment of noise measurement and suppression are also introduced, results show that the discrimination network based on splitter / combiner has better hf performance with low insertion loss and good rejection capability, however, it is more expensive

    結果表明，基於分相器混和器的噪聲分離網路具有更好的高頻特性，且網路插損和噪聲模態抑制特性能夠滿足工程精度要求，但網路製造成本較高。
  18. Thereafter according to the analysis of variable network noises, the paper lists the damage degree of noise jam to the network

    同時結合了網路的拓撲結構詳細的闡述了漏斗效應的形成和漏斗噪聲的來源。
  19. The resonance network is connected to the gate, then the output and input matching network is designed to satisfy the oscillation criteria. then harmonic balance method is used to analysize and optimize the output power and phase noise. to minimize the load pulling effect a buffer amplifier is designed to isolate the oscillator and the load

    本文在場效應管fet柵極上加上諧振網路（諧振網路是通過cst模擬得到的，它是串聯反饋迴路，介質工作在te01模，對于其後的fet ，它又相當於一個帶阻濾波器） ，然後設計輸入輸出匹配電路，使電路結構滿足起振條件，之後繼續用諧波平衡法模擬和優化，使振蕩器輸出功率合適，相位噪聲很低。
  20. The noise estimation theory of the gps / ins integrated navigation system and the error analysis is are systematically discussed in this dissertation. at first the paper briefly introduce the error of the integrated system and the cause of the error, and give an estimation model of the error. in order to solve the precise estimation of the error using artificial neural network, then an artificial neural network model is discussed

    本論文首先介紹了gps慣性組合導航系統的誤差和誤差模型，綜述了gps和慣導系統的誤差和誤差來源，給出了這兩種導航系統的誤差方程，討論了導航系統中常用的數據處理方法?卡爾曼濾波，給出卡爾曼濾波的基本方程，深入研究了卡爾曼濾波在組合導航系統數據融合中的應用。
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