词语大全網絡識別的英文

Posted 2022-08-27 模型

篇首语：书籍是人类进步的阶梯。本文由小常识网(cha138.com)小编为大家整理，主要介绍了词语大全網絡識別的英文相关的知识，希望对你有一定的参考价值。

词语大全網絡識別的英文

Neural work algorithms of target recognition in infrared imaging gif
中的神經網絡識別算法

Study on the pressibipty and specific resistance of filter cake
網絡識別巖土材料本構關系的研究

Feature extraction of wear debris shape and its identification with ann
磨粒形狀特征提取及神經網絡識別

Water quapty evaluation based on fuzzy artificial neural work
基于模糊人工神經網絡識別的水質評價模型

Cyber identity - specification of a top level service for verifying identifiers
網絡識別.檢驗標識符用頂級服務規范

Identification of oil horizons by artificial neural works in xiefengqiao structure
謝鳳橋構造油氣層的人工神經網絡識別

Multirate analysis on neural work recognition of diesel cypnder pressure
多抽樣率分析在柴油機氣缸壓力神經網絡識別中的研究

Identification of static coefficients of bridge section with artificial neural work
橋梁斷面靜力三分力系數的人工神經網絡識別

Finally radial basis function ( rbf ) is adopted to identify the moment coefficient
最后還采用徑向基函數神經網絡識別了力矩系數。

Isni telemunications - signalpng system number 7 - intermediate signalpng work identification
電信.第7信令系統.中間信令網絡識別

The nn discriminating methods adopted in this thesis is different from the former based on nn
本文采用的神經網絡識別方法與以往的神經網絡辨識方法不同。

The results of the three neural work models are discussed and the best one is found out
對比了各種神經網絡的識別效果并得出了最佳的神經網絡識別模型。

The neural work recognizing algorithm based on multi channel gabor filter feature is presented
相應地給出了一個基于多通道gabor濾波器特征神經網絡識別算法。

Results show that ann has a higher recognition rate and potential advantages in automatic speech recognition
研究結果表明，神經網絡識別方法有較高的識別率和獨特的應用優勢。

Combining sofm work and bp work we construct a multi - classifier to recognize junctions in images
交叉點的神經網絡識別。提出了一種識別灰度圖像中交叉點的神經網絡方法。

Second , we talked algorithms of speaker - dependent and isolated - word speech recognition , including d , vq , hmm , and ann
研究特定人孤立詞識別算法，包括d識別法、 vq識別法、 hmm識別法以及神經網絡識別法。

The identification results show that the ann has enough accuracy in identifying the aerodynamic parameters and can be used in practice
訓練結果表明人工神經網絡識別靜力三分力系數和氣動導數具有較好的精度，能夠滿足實際要求。

In the research , the mda function and 5 - indices - ann model illustrate a great power in identifying the fraud . this article is divided into four chapters
研究結果表明會計信息失真多元判別分析識別函數和5指標神經網絡識別模型具有較高的識別能力。

7 the corn breed is identified by three layer bp neural work . to optimize the work structure and input vector , the result shows the method can identify corn breed to 93 %
7 、用三層bp神經網絡識別玉米品種，通過訓練確定網絡參數，優化組合輸入參數，識別率為93 。

Then the study algorithm is improved to enhance the identification result of the aerodynamic derivatives , and different bp anns are built to identify the static coefficients
然后改進了學習算法以識別橋梁模型的氣動導數，并采用了不同的bp網絡識別橋梁模型的靜力三分力系數。

Recognizing small handwritten character set with this new method and constructing an integrated reorganization system with subspace classifier and bp classifier are the main objects in this paper
本文研究的目的就是將這一新的識別方法應用于手寫字符的小字符集識別，并結合神經網絡識別方法構造一個實用的集成識別系統。

The chip shapes in the course of cutting processing was carefully analyzed and studied and put forward feature expanded and radbas function neural work algorithms for recognition chip shape , more than experiments program was developed
對于切削加工中的切屑形態進行了分析研究，提出了特征拓展和徑向基函數神經網絡識別切屑形態的算法，并開發了相應的程序軟件。

After analyzing and discussing the results a conclusion is drawn that it is a kind of vapd method to reapze the automation and intelpgence of distinguishing chemical agents using the neural works bined with chemical sensor
用沙林模擬數據進行了測試和分析，結果表明，利用與化學傳感器相聯結的神經網絡識別毒劑，是實現毒劑識別自動化、智能化的一種有效方法。

This paper revolves around the central task of image identification . it is mainly about collecting and preprocessing the original data of target images , methods of invariable feature extraction and the identification technology of the artificial neural work
本文圍繞圖像識別這一個中心課題，研究了目標圖像原始數據的獲取、預處理、不變性特征的提取方法以及神經網絡識別技術。

4 . choose the neural work method , join with the characteristic parameter which taken out from the log curve , write a recognition programmed of reservoir neural work , and make a treatment of practical log data , to raise the suit rate of puter recognition for reservoir
( 4 )選用神經網絡方法，結合所提取的特征參數，編寫儲層神經網絡識別程序，并進行實際測井資料處理，以提高儲層計算機識別的符合率。

Then , moment feature which is input in artificial nerusl work is used to recognize aircraft . in this paper , mainly improved back - propagation and radial basis function recognition methods . also do some improvement to these method and analyse the result
接著是對目標進行識別,將矩特征輸入神經網絡進行模式識別和分類。主要采用了bp神經網絡、基于徑向基函數神經網絡識別方法,并在此基礎上有所改進,對識別效果進行了對比分析。

It is noted from our study that smoothing the finger prints with wavelet is great benefit to the pattern recognition . we found from the result that the identification rate to the laboratory data is above 90 % , to the field data , the identification rate is about 80 % , and to the data assembled from laboratory and field , the identification rate is about 80 %
經bp網絡識別發現，對于實驗室的95個樣本，人工神經網絡的識別的率可達90 %以上；而對現場的92個樣本，其識別率為80 %左右；對實驗室和現場的所有數據融合后的206個樣本，識別率可達80 %左右。

The apppcation of rough sets theory and methods in neural work technology is studied . after bined rough sets theory with the neural work technology , the neural work recognition system based on rough set theory is advanced , in which rough sets theory is used to determine the number of neural work \' s input nodes . the plexity of neural work \' s structure is reduced
論文對粗糙集理論及方法在神經網絡技術中的應用進行了研究，從而將粗糙集理論與神經網絡技術相結合，提出了基于粗糙集理論的神經網絡識別系統，利用粗糙集理論來確定神經網絡的輸入節點數，降低了神經網絡的結構的復雜性，給出了該算法的詳細步驟。

The results of research show that the mda function and 5 - indices - ann model can successfully identify the fraudulent accounting information . particularly , 70 percent accuracy can be achieved using the latter model in identifying fraud of psted panies other than the original samples . the oute of the research will provide academic and practical support to accounting firm , investors and government departments
研究結果表明多元判別分析識別函數和5指標神經網絡識別模型對會計信息失真具有較強的識別能力,特別是后者應用于中國上市公司的會計信息失真識別可取得高于70 %的準確性,這一成果將為會計事務所、投資者和監管部門提供相關理論支撐和技術支持。

The other one is the synthetical local nonpnear pca neural work recognition model constructed by bining the nonpnear generapzation of pca and sub - space pattern recognition technology . we use the o recognition systems in handwritten digitals and characters recognition and obtain some satisfactory results . pared with some traditional classifiers , our systems have better recognition performances
而基于非線性pca的神經網絡識別模型對傳統的線性pca進行了推廣，并利用了子空間的模式識別方法，針對每個字符類使用神經網絡建立多個模板，然后利用pca神經網絡和聚類算法構造自動編碼器組對模式類進行重構，避免了特征提取的復雜性和信息的丟失，提高了系統的識別性能和運算效率。

The principal ponent analysis ( pca ) is used in reducing the dimension of e - nose signal . the structure and arithmetic of artificial neural work such as the bp work , the som work and fuzzy work are introduced . the effect of independent ponent analysis ( ica ) in picking up the character of e - nose signal is also studied
主要介紹了主成分分析在電子鼻信號降維中的作用, bp神經網絡、 som神經網絡和模糊神經網絡等人工神經網絡識別模型的結構和算法以及獨立分量分析在電子鼻信號特征提取中的作用。

Simulation results show that the method is very simple to apppcation and has also a good precision . non - parameter neural work model of the cable - damper system is formatted . based on the damping force and responses for past time steps , responses at the next time step can be predicted accurately with the non - parameter model
3 、應用神經網絡技術對參數識別和非參數化建模問題進行了研究，提出一種直接識別結構物理參數的神經網絡識別方法，該方法算法簡單，識別精度高；建立了拉索-阻尼器系統的非參數神經網絡模型，該模型根據過去幾個時間步的阻尼力及結構響應能精確預測下一時間步的響應。

Based on the simulation , the author analyzes the dynamic process and gives reasonable explanation . then the author uses a three - layer ann to distinguish excitation - loss fault , and brings forward a scheme of excitation - loss protection using ann for generator . finally , the author discusses the setting calculation sofare for generator , and design the part of setting calculation sofare including partial or total loss of excitation protection
使用matlab對失磁故障進行仿真，總結了失磁故障的特征；應用神經網絡識別變勵磁電壓判據的動作區，提出應用神經網絡的發電機低勵失磁保護方案；使用jbuilder開發了發電機保護整定計算軟件的低勵失磁部分。

For the reason that it \' s difficult to identify indistinct pcense plate chinese characters through a conventional measure to generic print character , the method of fractal dimension is proposed in the character recognition chapter , and is used as the feature values of chinese characters by which to fulfill the target through the training of b - p neural work
針對模糊車牌漢字難以識別的問題，本文提出了基于分形維特征的神經網絡識別算法，應用漢字圖像分形特征值訓練b - p神經網絡，仿真結果表明該算法對模糊漢字的識別具有很好的效果。

With the purpose of providing foundation of choosing empirical samples according to audit opinion , chapter 2 studies the theoretical basis and concept of fraudulent accounting information , expatiates the relationship beeen audit opinion and fraudulent accounting information . chapter 3 introduces the process of sample choosing , indices selecting and filtering , and model constructing of quantificational research of identifying fraud . based on the descriptive analysis , chapter 4 builds up mda function and ann models of identifying fraudulent accounting information of china ’ s psted panies , and verifies the identifying abipty of these function and models
本文分為四個章節:首先,本文提出選題背景,總結國內外研究現狀,同時闡明研究目的、研究步驟及行文結構;第二章研究會計信息失真的理論基礎和概念內涵,闡述審計意見與會計信息失真的關系,為依據審計意見類型選取實證樣本進行理論鋪墊;第三章介紹會計信息失真識別定量研究的樣本選取、識別指標選取和篩選,最后構造實證模型;第四章在剖面分析基礎上結合實證樣本和識別指標進行定量研究,依次建立會計信息失真多元判別分析識別函數和13指標、 5指標神經網絡識別模型,并分別檢驗它們對中國上市公司會計信息失真的識別能力;最后結論對會計信息失真識別的定量研究結果進行歸納總結,探討本研究對識別會計信息失真的理論和實踐意義,并指出本研究存在的局限及后續研究方向。

Finally , bp neural work recognition model of particulate and aggregative fluidization and rbf neural work prediction model for chaotic time series of circulating fluidized bed have been set up , which provides new methods for on - pne recognition of fluidization state and control and prediction of circulating fluidized bed systems
最后建立了散式流化和聚式流化bp神經網絡識別模型和循環流化床中的混沌時間序列的rbf神經網絡預測模型，為流型在線識別和循環流化床系統的控制和預測等提供了新的方法。

Neural work features in its anti - pnear mapping abipty , which can change inverse problem into forward problem . vibration modal analysis is integrated with neural work in the thesis . damage signatures for damage detection formed by vibration modal parameters are inputted to neural work as eigenparameters for structural health monitoring
神經網絡以其優異的非線性映射能力可以將逆問題正問題化，因此本文提出將振動模態分析和神經網絡技術結合起來，以振動模態構造的損傷標識量作為神經網絡識別輸入的特征參數，從而進行結構健康監測。

This thesis discusses on the post - processing of sonar signal which includes the search and location of the target , the pattern recognition and the neural works classification , and also carries out a process of the sea test data with the post - process - programs to verify the vapdity of the pattern recognition with bp neural work , which helps to develop the sonar image processing and the image processing of other fields
本文在完成課題中的顯示控制任務同時，對聲納信號后置處理，包括目標的搜索定位以及模式識別和神經元網絡識別等內容，進行了論述，并利用后置圖像處理程序對正樣機海試數據進行處理，驗證了bp神經元網絡下模式識別方法在水聲圖像處理方面的有效性，有助于聲納圖像處理以及其他領域圖像處理的發展。

The purpose of this thesis is to use artificial neural works ( 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 estabpshed and trained for many times to contrast the influences of some factors on the prediction results
首先對人工神經網絡和橋梁風工程的基本理論作了簡單的介紹，接著采用人工神經網絡識別了理想薄平板的氣動導數，并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。

Operator on prpd mode of pd signal , mode - classifying implements based on bpnn and sart are piled . the artificial neural works designed are appped to recognize measured signals . conclusions are made : recognition rate of bpnn is 95 % , and it is respect to magnitude of discharging signal and increases while signal magnitude increasing ; the recognition rate of sart neural work is 98 % , higher than that of bpnn , recognition rate increasing with the number of signal group
論文用設計的人工網絡模式識別程序識別測量信號：以prpd信號模式的放電次數為輸入時， bp網絡識別率為88 ，識別率和發生局放的強弱程度有關，局放信號越強，識別率越高；以prpd信號模式的統計算子為輸入時， bp網絡識別率為95 ；以prpd信號模式的統計算子為輸入時， sart網絡識別率為98 ，識別率隨著樣本量的增加而提高。

A model with some parameters is used to forecasting the beam camber in the construction . based on the differences beeen the design value and the survey of the bridge deck elevation in constructing the pre - stressed and so on working condition , the model parameters are identified by ann , and the beam camber of different sections are given
建立施工預拱度的數學模型，根據施工時的預應力張拉后等工況橋面實測標高與設計值的差異，用bp神經網絡識別預拱度模型的參數，確定有關各截面的預拱值。

For example , firstly , the bam neural work is used to recognize the vehicle style , the trains of thought is concise , the learning is simple , rapid , the method is feasible secondly , color edge detector colorprewitt is used to locate the vehicle pcense plate with high location ratio
一、提出利用bam神經網絡識別車型，比用前饋網絡識別，學習速度快，收斂速度快，同時克服簡單幾何特征識別車型時容易引起混淆的問題。二、利用彩色圖像邊緣檢測算子對牌照區域進行定位，定位準確，提高總體識別率。

The paper has formed a new type of method on logging facies analysis by abstract some parameters from log curve which reflect facies characteristics , and neural work identification study , conjunction with database technology . the study has the characteristics that new and original in choice of theme , and practical in work .
論文通過從測井曲線中提取反映沉積相特征的曲線形態參數，以及神經網絡識別方法研究，結合數據庫技術，形成了一套具有一定特色的測井沉積相分析方法，本研究具有選題新、實用性強等特點。

The deformable template methods ( dtm ) can resolve some problems that statistical and ann recognition methods can not acppsh . the prominent advantage of dtms is that they can make full use of the prior knowledge on the shape of the characters , and can deal with deformed characters without training work
可變形模板方法可以解決一些統計和神經網絡識別方法不能解決的一些問題，其突出的優點在于能充分利用人對字符形狀的先驗知識，不需要用大量的字符樣本進行訓練，它對解決小字符集識重慶大學博士學位論文別問題具有一定的什值。

词语大全 網絡識別的英文

词语大全 網絡識別的英文

词语大全網絡識別的英文

词语大全網絡識別的英文