artificial neural network (ann) 中文意思是什麼

artificial neural network (ann) 解釋
類神經網路
  • 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。
  • ann : n. 安〈女子名〉。
  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. 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。
  3. 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。
  4. 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。
  5. 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。
  6. 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。
  7. 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。
  8. 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。
  9. 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。
  10. Develop the artificial neural network ( ann ) program to predict the hourly cooling load of the building under arbitrary meteorological conditions

    開發了人工神經網路用於預測任意氣象條件下建築物的逐時冷負荷。
  11. Artificial neural network ( ann ) is a approximate simulation of biologic nerve system, which is a network model with a special algorithm got from biologic prototype after abstractly research

    人工神經網路是對生物神經系統的近似模擬，是把生物原型通過理論研究抽象成為具有某種特定演算法的網路模型。
  12. Upon using an artificial neural network ( ann ) a new short - term climate forecast model with the monthly mean rainfall in june in the north of guangxi as predictand is established making empirical orthogonal functions ( eof ) to the 36 predictors ( 15 ssa predictors, 21 500hpa height predictors ) with over 0. 05 significant correlation level of previous 500hpa height and sea surface temperature ( sst ) field, and selecting the high relative principal components, at the same time, a new approach of constructing ann learning matrix is developed. predictive capability between the new model ( principal components ann model ) and linear regression model for the same predictors is discussed based on the independent samples and historical samples

    本文通過對廣西北部6月平均降水量（預報量）同北半球月平均500hpa高度場和北太平洋月平均海溫場進行相關普查，選取了前期36個同預報量相關顯著水平達到0 . 05以上的預報因子（ 15個海溫場預報因子， 21個高度場預報因子） ，並運用自然正交函數展開方法對這36個前期預報因子展開，取其中同預報量相關程度高的主成分，結合人工神經網路技術，提出了一種新的構造人工神經網路學習矩陣的方法，建立了一種新的短期氣候預測模型。
  13. This paper mainly discusses a control method of substation voltage and reactive power. in order to get suitable decision for one day 24 hours tap - transformer ' s step switch and shunt capacitor switch, an approach of substation voltage and reactive power control on the basis of the combination of artificial neural network ( ann ) reactive power forecasting and evolutionary programming optimal decision - making is put forward

    論文主要研究變電站的電壓/無功控制決策問題，為了確定一天24小時內合適的有載調壓變壓器分接頭位置和並聯電容器投切狀態，提出一種基於人工神經網路的無功負荷預測和進化規劃優化決策相結合的變電站電壓和無功的綜合控制決策。
  14. Secondly, the following two subjects are discussed according to the calculation of short - circuit current : ( l ) to verify the dynamic stability condition of wires by using simulated annealing algorithm ( sa ), the paper calculates the maximum value of rectangle wires " short - circuit electrodynamic stress and gets the conditions of their having the maximum value. furthermore, some concerned data about the verifying of copper wires are given by analysing vibration spectrum of the electrodynamic stress ; ( 2 ) in order to get the heat withstand conditions of wires, the paper discusses some common calculation methods, and then tries to study the problem applying artificial neural network ( ann ) based on heat principle of metals. the model is shown to be feasible

    其次，在電路中短路電流計算的基礎上， （ 1 ）進行母線的短路動穩定校驗計算：採用模擬退火演算法（ sa演算法）計算了矩形母線短路電動力的最大值及其取極值的條件，獲得了更為一般的結果，進而通過短路電動力的頻譜分析，給出了銅質母線的有關短路校驗計算數據； （ 2 ）進行母線的短路熱穩定校驗計算：討論了熱穩定校校的幾種常用計算方法，從導體或電器的發熱機理出發，運用人工神經網路理論對母線的熱穩定問題進行計算，通過算例比較，證明該方法用於熱穩定計算是可行的。
  15. A new model about measuring harmonics on - line is proposed in this paper. after band pass filtering, sampling storage and the monitoring on - line with artificial neural network ( ann ), we can obtain the harmonics signal, which is used to compensate harmonics. using the basic principle of analog parallel harmonics measurement and a special multi - layer feedforward neural network, a corresponding harmonics measurement on - line is built

    在本文中提出了一種新型電網諧波監測系統模型，通過帶通濾波器，采樣存儲器以及神經網路組成的監測系統可以實時監測電網諧波，當電網中的3次、 5次、 7次諧波超過容許值時，給出控制信號啟動以記錄儀記錄諧波，並可以控制諧波補償，最終達到監督電網，抑制諧波、減小諧波的目的。
  16. Feature extraction through 2 - order polynomial fit of the descending part of the response curve made possible a timesaving measurement process. the performances of two pattern recognition algorithms, namely principal component analysis ( pca ) and linear discriminant analysis ( lda ) in practical problems were discussed. artificial neural network ( ann ) was utilized with back - propagation algorithm ( bpa ), and the combination of pca / lda with ann improved the identification performance of the system

    基於對模式識別系統的深入研究，提出了從響應階段數據提取特徵的方法，節省了測試所需時間；比較了主成分分析法（ principalcomponentanalysis ， pca ）與線性判別式法（ lineardiscriminantanalysis ， lda ）兩種模式識別方法在實際應用中的不同結果，分析了原因；設計了採用誤差反傳演算法back - propagationalgorithm ， bpa ）的前向人工神經網路（ artificialneuralnetwork ， ann ） ，並指出其應用中存在的問題，提出了改進建議；利用pca lda與ann相結合的方法改善了系統的識別性能。
  17. The main point of this project is to research the theories and applications of artificial neural network ( ann ) which is suitable for large scale science data mining. especially, our research focus include : dimension reduction techniques based on independent component analysis ( ica ) and wavelet - based denoising or compressing techniques for feature extraction in scientific datasets which have complex features ; classify and clustering techniques of ann combination with data grid, back - propagation neural network, self - growing multilevel self - organizing map for large scale knowledge founding in sdm

    特別深入研究以獨立分量分析（ ica ）為主的降維技術、以小波神經網路為主的壓縮降噪技術解決科學數據特徵復雜不便識別的問題;以同網格結合的神經網路、誤差反向傳播的bp神經網路、自適應多級自組織特徵映像網路為主的分類、聚類技術解決科學數據挖掘中的大規模知識發現問題。
  18. The artificial neural network ( ann ) method, which can be used to approach non - linear function with many input / output parameters, is originally used to estimate the discharge capacity of mh / ni batteries when changing the discharge current and voltage. the satisfactory result has been obtained from comparison of simulation results

    並對鎳氫蓄電池soc的預測進行了模擬，結果表明，通過該網路模型可以方便快速的得到電池的soc值，所得結果滿足要求，為電池管理系統提供了一種新的電池soc的預測方法。
  19. Based on the theory of inverse analysis in mechanics and engineering and combined with the concrete gravity dam of manwan hydro power plant, a back - analysis model including the prior information was built and artificial neural network ( ann ), according to which powerful nonlinear mapping ability, was used to predict the future physical parameters of the concrete

    在此基礎上，以大規模有限元分析軟體ansys為平臺，二次開發了漫灣水電站砼重力壩運行狀態分析系統，根據大壩運行監測資料，對該電站大壩進行了砼力學參數反分析、砼力學參數預測分析以及大壩運行狀態分析。
  20. However, the traditional expert systems only handle the dominant and superficial knowledge, they have lots of demerit such as weak reasoning ability, poor intelligence and the difficulty in getting knowledge and so on. therefore, this paper introduces the technology of the artificial neural network ( ann ) to overcome the shortage of expert systems, and tries to solve the problem which has complicated relationship, fuzzy boundary questionably factor and expresses hard in regulation and mathematical model

    但傳統專家系統只能處理顯性的表面的知識，存在推理能力弱，智能水平低，而且知識獲取難等缺點，所以本文引入了人工神經網路技術來克服傳統專家系統的不足，來試圖解決農業系統中存在的關系復雜、邊界模糊、不確定性強等難于用規則或數學模型嚴格描述的問題。
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