artificial network (an) 中文意思是什麼

artificial network (an) 解釋
人工（電源）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...
  • 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。
  • an : an1indef. art. 見 a 條。1. 〈方、口〉 ＝ and. 2. 〈古、方〉 ＝ （and） if.
  1. We use artificial immune principles to design a novel antibody network which based on the immune algorithm and neural network, and use these as in - depth research of the application of our achievement to engineering. in this paper, we built the novel antibody network which based on the two intelligence algorithms and reach the application of its use in the intrusion detection system. furthermore we create an ideal antitype system from it

    本課題以人工免疫系統和神經網路為研究對象，並依託四川省科技廳基礎項目「智能入侵檢測系統的關鍵技術研究」 （項目編號: 04jy029 - 017 - 1 ） ，將人工免疫原理和神經網路技術相結合，提出了應用於入侵檢測系統的新型抗體網路，為該項目在工程領域中的進一步研究、應用提供理論依據
  2. Second, the process of modeling an artificial neural network has very high automaticity, for it can accomplish many inner processes automatically

    人工神經網路模型在建立過程中，自動化程度相對較高，許多內部過程可以自動完成。
  3. By setting up dummy variable regression equation, the effect of non - economy factors is analyzed quantitatively. 3. using artificial neural network to map the relationship between the household appliance percentage and average residential electricity demand, this paper presents an artificial intelligent method to forecast residential electricity demand

    建立帶有虛擬變量的多元回歸方程，同時考慮了影響居民電力需求的經濟因素和非經濟因素，定量描述了非經濟因素（例如氣候、生活習慣、消費習慣）對居民用電的影響。
  4. An automatic order determination of color isochromatic fringe based on bp artificial neural network is presented

    提出基於bp神經網路的彩色域等色線自動定級法。
  5. Based on the analysis of the magnetic characteristics, an artificial nerural network can be built and the fault samples can be gained by theoretical arithmetic. the results of computation example show that the method can not only judge if shorted field turns exit but also estimate fault turns ratio

    根據該結論構建了發電機故障診斷的神經網路，並直接獲得發電機在額定運行工況下對應的故障樣本，用於故障診斷，不僅對轉子繞組匝間短路故障的存在性，還對故障的嚴重性做出了正確的判斷。
  6. The microgels of close monodispersity with different volume and cross - linking density can be prepared by using an inverse emulsion polymerization method. both artificial and natural materials, including zeolites, membranes, vesicles, liquid crystal, microemulsion, micelles, biopolymers, etc., have been used as template. the three - dimentional network structure and spherical morphology of polymeric microgels may guarantee the homogeneous of the structure of the composite, the size and the morphology of the various organic - inorganic composites with unusual structures

    在反相乳液聚合條件下，通過控制反應條件可以得到體積不同、交聯度不同的近乎單分散的微凝膠，如同分子篩、單（多）分子膜、囊泡、液晶、微乳液、膠束、生物大分子等可作為微納米無機材料合成模板一樣，高分子微凝膠所特有的三維網路結構和球形形貌有可能對在其中進行的無機結晶或沉積反應施加限域和導向作用，從而控制所生成無機材料的形貌和大小，得到各種具有特異結構的無機-有機復合材料。
  7. 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。
  8. The artificial neural network is used to tackle an ill - posed problem of the parameter identification and to approximate nonlinear function relationship between the vibration responses of the hydraulic generator and model parameters

    利用人工神經網路具有解決參數識別反問題不適定性的能力，建立了水輪機系統響應與模型參數之間近似的非線性函數關系。
  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. In view of adaptive learning for diagnostic images recognition, studying the theorem and the rule of art artificial neural network to learning and adaptive, provided an algorithm with a function of self - stability and classifier learning

    摘要針對特徵圖像的自適應識別技術問題，研究了利用具有學習和自適應功能的art人工神經網路原理及規則，提出了具有自穩定適應和分類學習功能的演算法。
  11. The objective of this thesis is to design an artificial neural network adaptive reconfigurable flight control law basing on the view of engineering and to establish a flight simulation system with normal aircraft, fault aircraft, normal flight control law, reconfigurable flight control law and fault verification by c + + program

    本文目的是從工程角度考慮，重點開發神經網路自適應的自修復重構飛行控制律。並在c + +環境下建立具有正常與故障飛機、正常與自修復重構飛行控制律和故障認定等模塊的飛行綜合模擬系統。
  12. This paper uses mathematics algorithm, to forecast the demand of natural gas and acquired some achievements. this paper makes an all - sided research for several commonly - use forecasting methods, such as time serial method, multi - variant regression method, gray system method, artificial neutral network method. the author analyzes merits and demerits of these methods and exerts these methods to forecast the demand of natural gas in sichuan

    本篇論文對幾種常用預測方法時間序列法、多元回歸法、灰色系統法、人工神經網路法等進行了全面的研究，分析了幾種方法的優缺點，運用了這幾種預測方法對四川省天然氣的需求量進行了預測，取得了比較好的效果。
  13. 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。
  14. The aim of this dissertation is to shed some light on these subjects. first, systematic experimental study and theoretical analysis have been performed to study the damage of concrete due to loading history. in addition, an artificial neural network approach is developed to study the constitutive relations of materials, and some constitutive models of concrete under various loading history have been established

    本文針對目前大壩設計和研究中混凝土材料損傷及本構特性這個薄弱環節，在深入分析國內外有關成果的基礎上，從理論和試驗兩個方面對混凝土材料經歷過荷載歷史后的損傷特性進行了深入的研究；同時，將人工神經網路技術應用到混凝土本構領域，建立了一系列在各種加載形式下的混凝土材料模型。
  15. The developed artificial neural network of piping has been trained and predicted by the collected data and the precision of predicted results is high, which proves that artificial neural network is an effective method to predict and judge the occurring of piping

    應用收集到的管涌數據對管涌人工神經網路模型進行訓練和預測，預測的結果精度較高，說明人工神經網路是預測判定管涌發生的有效方法。
  16. Aiming to solve the existing problems of the personalized organization of instruction resource, this paper is going to state, by research, that personalized organization is the essential part of personalized network - based instruction ; that it is favorable for the personalized organization of instruction resource to define " instruction resource " according to the needs of personalized instruction ; that the personalized organization of instruction resource should be integrated with the instruction strategy ; that it is an applicable way for the fulfillment of the self - adaptive organization of instruction resource in network - based instruction system to integrate the organization of instruction resource with artificial intelligence and use agent to improve the intelligence of the personalized organization of instruction resource

    （ 3 ）教學資源的定義不清，不利於個性化組織。論文針對教學資源個性化組織存在的問題，經過研究認為，教學資源個性化組織是進行個性化網路教學的關鍵內容；根據個性化教學的需要定義教學資源有利於教學資源的個性化組織；教學資源的個性化組織應該和教學策略相結合；將教學資源的組織和人工智慧技術相結合，運用agent技術提高教學資源個性化組織的智能性，是網路教學系統中實現教學資源自適應組織的一種可行的途徑。
  17. 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。
  18. By using both of the two methods, we extract the features of the target images, then we applied the features to the artificial neural networks in the recognition part. we utilize the artificial neural networks method to identify the images in the recognition part. an improved back propagation ( bp ) algorithm was introduced to train the neural network for recognition

    在旋轉不變性和特徵提取方面，研究了目標的zernike不變矩方法，並且提出了用小波分析在目標圖像特徵提取方面的應用，分別用zernike矩和小波分析方法提取了目標的特徵值，將兩者提取的特徵值分別作為目標識別分類器的輸入。
  19. Based on the uncertainty and fuzzy characteristic of occurring of piping, fuzzy neural network of piping is proposed further. the same collected data is used to train and predict the model and gets good results, which proves fuzzy artificial network is also an effective method to predict and judge the occurring of piping

    針對管涌發生的不確定性和模糊性，文中進一步建立了管涌的模糊神經網路模型，用同樣的樣本對模糊神經網路進行訓練和測試，獲得不錯的預測結果，證明模糊神經網路也是預測判定管涌發生的有效方法。
  20. Construction of an evaluation method for road traffic safety system basing on bp artificial network

    一種道路交通安全神經網路評價模型的構建
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