ann artificial neural network 中文意思是什麼

ann artificial neural network 解釋
人工神經網路
  • ann : n. 安〈女子名〉。
  • artificial : adj 1 人工的，人造的；人為的 （opp natural）。2 摹擬的 （opp genuine real）; 不自然的，矯揉造作的...
  • neural : adj. 【解剖學】神經（系統）的；神經中樞的；【解剖學】背的，背側的。adv. -ly
  • 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. This method can reflect local signal feature and well perform in the experiments. we also present an integrated electromyographic signal ( emg ) pattern recognition scheme. the application of an artificial neural network ( ann ) technique together with a feature extraction technique, for the classification of emg signals is described

    利用高階譜技術提取肌電信號的特徵信息，然後利用奇異值或者其它方法對二維特徵矩陣進行優化，將優化之後的一維特徵向量輸入神經網路分類器進行模式識別，這種方法能夠初步識別不同模式的上肢運動。
  2. 二., the effection of back - propagation artificial neural network the ann model fitted very well in the study of typhoid fever and paratyphoid fever, viral hepatitis and epidemic cerebrospinal meningi - tis, yet, it did n ' t fit so well in the study of endemic typhus and en - demic encephalitis b. piscuss 1

    在bp人工神經網路的預測效果方面，呼吸道傳染病百日咳和猩紅熱、消化道傳染病傷寒副傷寒和細菌性痢疾模型的預測效果較好。蟲媒傳染病的預測效果最差。在干早地區的傳染病預測方面， bp神經網路模型在回代和預測效果方面均優于傳統的多元逐步回歸模型。
  3. The potential applications of amr include both civil and military communication, especially non - cooperative communications and communication confrontation, such as identifying signals, supervising signals, distinguishing interference, electronic confrontation, analyzing military threat, etc. on the basis of our analysis to the existing research on feature abstraction, the related feature abstraction methods are optimized in this paper, resulting several effective methods such as the feature abstraction based on transformation domain, stepped voltage level analysis, normalized carrier - free spectral energy analysis, squared signal and fourth powered signal analysis, etc. both the decision theory based on recognition algorithms and the artificial neural network ( ann ) based on recognition algorithms is analyzed, and the former is selected as it is more appropriate for this research

    調制類型的自動識別廣泛應用於民用通信與軍用通信，尤其是對于非合作性通信、通信對抗，比如：信號確認、信號監控、干擾辨識、電子對抗、軟體無線電、電子救援、通信對抗、軍事威脅分析等。本論文在分析現有研究的基礎上，借鑒了已有的特徵提取方法，對相關調制類型特徵提取方法進行了優化，使用了一些有效的方法，如基於變換域特徵提取方法、梯層電平分析方法、剔除載波后的歸一化頻域能量分析方法、信號平方后的頻譜分析方法、信號四次方后的頻譜分析方法等。通過對基於決策理論和基於人工神經網路兩種識別演算法進行分析，本論文選擇了較適合的基於決策理論的識別演算法。
  4. However, according to ann ' s theory, making use of visual basic development tool, friendly - interface single output three layers " artificial neural network generator base on improved bp algorithm has been developed by the author, and after constructing the model, the value of d _ ( cmax ), finally the gross bed - load transport rate of non - uniform sediment with a wide distribution in flume experiment of stead sediment transportation have been forecasted

    筆者採用的途徑則是根據人工神經網路理論，利用vb開發出界面友好、基於改進bp演算法的多輸入單輸出三層神經網路生成器軟體，並採用該生成器建模，對平衡輸沙狀態下的水槽輸沙試驗的d _ （ cmax ）和總輸沙率進行預測計算。
  5. After analyzing the character of risk, i introduce data mining method into risk management, to solve the contradiction between great capacity of data and lack of information, the methods include mathematics statistics and artificial neural network ( ann ). then, i study on the methods of risk management in risk identification, risk evaluation and risk disposal, what is advanced, fault tree analysis method based on fuzzy probability, stochastic simulation method and the topsis method based on interval number all consider the characteristic of risk. finally, i discussed the application of information system ( mis ) in project risk management, and developed a risk management information system

    論文在深入分析了風險特徵之後，將數據挖掘技術引入風險管理，用以解決海量數據與貧乏信息之間的矛盾，所採用的技術有數理統計和人工神經網路（ ann ）兩種方法；接著，論文對風險識別、風險評價、風險處理中的風險管理方法進行了研究，所提出的基於模糊概率的故障樹技術、隨機模擬技術和基於區間數的topsis方法都體現了風險管理的特點；最後，論文對信息系統（ mis ）在工程項目風險管理中的應用進行了探討，開發出一個風險管理信息系統。
  6. The back - propagation ( bp ) network is one of the most useful artificial neural network ( ann ), which can deal with complicated data and nonlinear problem

    Bp網路是最具有代表性的人工神經網路之一，具有強大的數據處理能力和非線性映射能力。
  7. On the basis of bishop, fem ( finite element method ), dem ( disturbing energy method ), ann ( artificial neural network ) and ai ( artificial intelligence ), the thesis has study in details about the stability analysis, condition forecast, repair mode selection of the landslide, and obtain some significative conclusion

    本文結合實例，運用簡化畢肖普法、工程數值模擬技術-有限元法、基於系統能量準則的干擾能量法、神經網路理論及人工智慧理論等多種手段，從不同角度對滑坡的穩定分析、狀態預測、整治方案選取等進行了較為深入的研究，得出了一些有意義的結論。
  8. Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given

    本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。
  9. Subsidence prediction model combining rs and ann ( artificial neural network ) is estab1ished

    建立了以粗集作為前處理器，基於粗集與神經網路相結合的開采沈陷預計模型。
  10. Taking typical drawing workpiece circular cup as the research object, a stamping technological parameters artificial neural network ( ann ) model for bhf forecast has been built up

    摘要壓邊力是板料成形中的一個重要的工藝參數，也是板料拉深成形中的重要控制手段。
  11. A three - tiered artificial neural network ( ann ) model with a feed - forward, back - propagation net - work structure was developed to forecast river flow in the manwan reservoir

    摘要以雲南省漫灣水電站歷史徑流狀況為研究對象，運用三層前饋反向傳播神經網路模型對徑流進行中長期預報。
  12. In this paper an artificial neural network ( ann ) approach, which is based on flexible nonlinear models for a very broad class of transfer functions, is applied for multi - spectral data analysis and modeling of airborne laser fiuorosensor in order to differentiate between classes of oil on water surface

    由於ann方法適合於處理非線性系統，具有自組織、自學習、自適應和聯想能力，故通過對樣本反復訓練，能辨別各類樣本特徵差異，本論文的核心工作就是將人工神經網路（ ann ）的方法應用於激光遙感光譜數據的智能分析。
  13. Based on the calculation methods of nominal water - cement ratio of mortar and average paste thickness of standard sand provided by authors, the nonlinear relation between fluidity of mortar and nominal water - cement ratio of mortar, average paste thickness of standard sand, fly ash - binder ratio was established by using artificial neural network ( ann )

    摘要在給出水泥膠砂名義水灰比和標準砂平均漿體厚度計算方法的基礎上，採用人工神經網路方法，建立了水泥膠砂流動度與水泥膠砂名義水灰比、標準砂平均漿體厚度、粉煤灰與膠凝材料用量比之間的非線性映射關系。
  14. In the paper, viscoelastic theory and ann ( artificial neural network ) are applied to estimate ds and draw the curve of deformation

    本文將粘彈性理論和人工神經元網路應用於車轍試驗動穩定度的預估。
  15. Apply ann ( artificial neural network ) in optimizing control system based on the optimized water flooding equipment ; test the control system using the industrial data

    以注水機組優化為系統優化的基礎，將神經網路引入優化控制系統，利用工業現場記錄的歷史數據進行了測試，取得了令人滿意的效果。
  16. The y - ray spectrometry with self - calibration method and ann ( artificial neural network ) methods in uranium measurement are researched in this paper and a surrogate method in measuring shielded uranium samples is also provided. y - ray spectrometry is a passive non - destructive assay technology

    本工作深入考察了核保障技術的研究背景以及技術進展，重點研究了能譜相對效率分析方法和人工神經網路（ ann ）分析方法，並研究了一種利用能譜測定封裝濃縮鈾屬性的輔助方法。
  17. Cascade representation is adopted to represent face rapidly to improve the fast face representation from coarse to fine, from simple to complex, and to improve the speed and accuracy of the processing. subsequently, designs of the classifiers are described in three aspects. first of all, some common classifiers are firstly discussed such as sf ( sign function ), nn ( nearest neighbour ), adaboost, svm ( support vector machine ), ann ( artificial neural network ) etc. then appropriate classifiers for face detection and recognition are selected

    通過對pca 、 lda 、 gabor和like - harr人臉表示方法的研究，分別為人臉檢測和識別選取了較為穩定而準確的人臉表示；初步嘗試了利用adaboost分類器進行特徵選擇從而消除冗餘特徵，並且提出了採用級聯表示方法快速表徵人臉，從而實現由粗到精、由簡單到復雜的快速人臉表示，這樣既提高了人臉的檢測和識別的速度，還有利於檢測率和識別率的提高。
  18. The future trends of power quality are discussed. this thesis also brings forward the method of power quality measurement, i. e. the integration of wt ( wavelet transform ), fft ( fast fourier transform ) and ann ( artificial neural network )

    初步對電能質量監測問題和本文的發展方向進行了展望，提出將小波變換、離散傅立葉分析和人工神經網路相結合將是很有前途的方法。
  19. The paper firstly introduces crm, bp ann ( artificial neural network ) and the traditional methods of customer classification, then studies the customer - classification method according to customers " value and improves on the existing customer value model. subsequently, applying the bp ann to customer classification, the paper puts forward the customer classification method based on bp ann. in the end, the paper introduces a crm system developed by the author during the past year

    本文在分析客戶關系管理、 bp網路、傳統客戶分類方法的基礎上，探討了以客戶價值為依據的客戶分類方法，對現有客戶價值評估模型加以改進，提出了新的客戶價值評估模型；考慮到客戶價值難以直接計算，將bp網路應用於客戶分類，提出了基於bp網路的客戶分類方法；並開發了連鎖超市客戶關系管理系統。
  20. While some new theories and techniques have been applied to it successfully, such as pca ( principle component analysis ), ga ( genetic algorithm ), wavelet theory, - ann ( artificial neural network ), fuzzy system, pattern classification, adaptive control theory, nonlinear system theory, etc. this paper applies fuzzy neural network based on genetic algorithm to the fdd ( fault detection and diagnosis ) of power electronic circuits

    故障檢測與診斷技術在過去的十幾年裡得到了飛速發展，一些新的理論與方法，如：主元分析、遺傳演算法、小波變換、神經網路、模糊系統、模式識別、自適應理論、非線性理論等都已經在這里得到了成功的應用。
分享友人
分享到 Line

分享到臉書