artificial neural networks ann 中文意思是什麼

artificial neural networks ann 解釋
人工神經網路方法
  • 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
  • networks : 廣播電視網
  • ann : n. 安〈女子名〉。
  1. With the corrected parameter files, the results indicate that the isotopic abundance in the sample can be determined within 2 % error using a hpge detector system. artificial neural networks ( ann ) are a class of models based on neural computation and have been applied to the measurement of uranium enrichment. the principles of ann methods used in uranium measurement are presented in this paper and the conditions of analysis proceedings are described

    在核保障核查測量中和實物監測中，測量對象往往是規格確定並種類有限的元件或部件，只需要關心測量對象的屬性是否發生了變化，或者對同一種類的放射性樣品的一致性做出判斷，這種要求下使用神經網路方法是比較適宜的，並且神經網路方法是與探測器和探測效率無關的。
  2. At the end of the thesis, intellectual capital is further measured by artificial neural networks ( ann ), moreover the relation between result of non - financial measurement and the value of intellectual capital is researched. this model is then applied to a knowledge - based company

    最後，本文運用建立起來的測量模型對一家典型的知識型企業加以實際測量，實踐結果表明，該測量方法是切實可行的，並對企業的戰略管理具有積極的指導意義。
  3. The fault diagnosis of the analog circuits is an advanced synthesis intercrossed subj ect, which is an application technology absorbing the new theory, technology and method in other subjects and fields. in the past 40 years, it has developed a great deal of theory and approaches. but the approaches are limited to deal with fault diagnosis because of the variety and complexity of the analog circuits, especially the large - scale analog circuits with the tolerance or the soft fault. artificial neural networks ( ann ) which have been one of the most active research areas recently can be contributed to solve problems in various practical fields. in this paper, analog circuit fault diagnosis approach based on pattern recognition, and ann is expatiated

    模擬電路故障診斷是一門不斷發展中的綜合交叉性學科，是在不斷吸收其它學科和領域的新理論、新技術和新方法的基礎上向前發展的一門應用技術。雖然經過了四十多年的發展，也已經形成了一系列的診斷理論和方法，但由於模擬電路特別是有容差的大規模模擬電路故障的多樣性和復雜性，使得可用於診斷容差模擬電路的故障和大規模模擬電路軟故障的方法還十分有限。人工神經網路理論近年來取得了快速發展，已開始在各個研究領域廣泛應用。
  4. The artificial neural networks ( ann ) with back propagation algorithms coupled with the sequential pseudo - uniform design ( spud ) was applied and demonstrated successfully to the modeling of the pmr system using limited but adequate experimental data

    我們採用接續式擬均勻設計來安排實驗取得少量但充足的數據並以類神經網路來建構鈀膜反應器之代表性模式。
  5. For the nonlinear and uncertain characteristic of hydraulic turbine power set, this paper combines the artificial neural networks ( ann ) with adrc theory and adjusts the structure of the controller according to the characteristic of the subject

    針對水輪發電機組的非線性和不確定性，把神經網路與自抗擾控制理論相結合，並依據對象特性對控制器做了結構調整。
  6. In nntcs, we use artificial neural networks ( ann ) as the classifier. the recorded term frequencies form the original feature vector, matching with neurons in the input layer of ann one by one

    系統使用神經網路作為分類器，特徵詞的詞頻組成原始特徵向量，和神經網路輸入層的神經元一一對應。
  7. The purpose of this thesis is to use artificial neural networks ( 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 established and trained for many times to contrast the influences of some factors on the prediction results

    首先對人工神經網路和橋梁風工程的基本理論作了簡單的介紹，接著採用人工神經網路識別了理想薄平板的氣動導數，並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。
  8. This thesis was carried out basing on the seals automatically reorganization project in a information science company of chongqing municipalization. in the paper, based on the analyzing of the mathematical models and their algorithms of kinds of artificial neural networks ( ann ), the author analyzed the algorithm of the back - propagation ( bp ) networks model, at the same time, the author improved the algorithm practically and effectively, and applied it in the recognition technique of digital image successfully

    本文的研究工作是結合市內某信息科技公司的「印鑒自動識別系統」研發項目開展的，作者在深入分析了人工神經網路的各種數學模型及演算法的基礎上，重點剖析了前饋神經網路的演算法思想，對其進行了實用、有效的改進，並將它成功的應用於「圖象識別技術」 ，取得了較為滿意的成果。
  9. Based on the design and development of computer - aided mould and fixure man - hour quota system ( cfmh ), a method of calculating man - hour quota based on artificial neural networks ( ann ) is proposed in this thesis and a sub - system of calculating man - hour quota based on ann is also implemented

    本文結合計算機輔助模、夾具工時定額系統（ computer - aidedmouldandjigman - hourquotasystem ， cfmh ）的研製與開發，研究了基於人工神經網路模型的工時定額計算方法；並開發了相應的神經網路模型定額計運算元系統模塊。
  10. Since the early nineties last century, machine learning techniques such as artificial neural networks ( ann ) have been attempted in flood forecast areas, such as rainfall - runoff modeling and stream flow forecasting, with some valuable experiences achieved. this paper presents several precise, reliable and practical flood forecast models based on some new style learning machines. their performances were valued in case studies

    本文結合機器學習技術，從尋找易用的、準確的、可靠的、實用性強的洪水預報方法的角度出發，建立了多種基於新型的學習機器的洪水預報模型，並通過這些模型在實例中的表現，對它們的性能進行了評價，提出了幾種基於學習機器的洪水預報解決方案。
  11. Now we enter the era of idss. which is based on ai, especially on ann ( artificial neural networks ). in the 1980 ' s, w. h. inmon brought about a new concept of data - warehouse, which got its rapid development and challenged the traditional data mining techniques with an unimaginably large amount of data

    基於人工智慧的決策支持技術是現今決策支持的重要發展方向，而神經網路技術的迅速發展給決策支持的智能化開辟了一個大有希望的發展方向。
  12. This part contained three subjects : designing and optimizing fuzzy logic controllers ( flc ) and artificial neural networks ( ann ), fuzzy neural network model identification of complex system

    主要包括模糊控制器與人工神經網路的優化設計，以及具有不確定性的復雜系統的模糊神經網路模型辨識三個方面。
  13. According to the research on the artificial neural networks （ ann ） and neural control technology, this paper then discusses how to use ann theory in mps4000 substation integrated automation system

    針對這一點，通過對人工神經網路與神經控制理論與作了一定的研究分析，提出了在mps4000變電站綜合自動化系統中應用人工神經網路理論建立的模型。
  14. In our work here, a model of data mining was developed, which got its foundation from artificial neural networks. hi fact, this kind of model might be called an infant protocol for dss ( decision support system ), which accepts final users " raw data, integrates various sources of data, cleanses them from garbages, then normalizes them into an intermediatary data file. from this temporary data file, the dss model can now make a conclusion, which is a fuzzy set. to do this, we introduce a kind of ann models called bp network, which classifies the records from the normalized data file. in the model. we put our main emphasis on bp network and its training algorithm. ann has been a branch of ai, and it has some kind of intelligence of human beings, as to memorization and reasoning

    我們實現的模型是一個有機的數據處理和決策綜合系統，首先，模型接受用戶在通常的mis系統中積累產生的各種數據，對這些原始的， 「粗糙」的數據，我們第一步的工作是對他們進行預處理，這個過程其實相當的復雜棘手，最典型的，它首先要集成來自不同數據源的數據，其次，它要能夠對這種數據進行清洗，除去我們不感興趣的臟數據，最後，它還要對數據進行重新的解釋，處理數據的規范化，一致化等問題。在進行了必要的數據預處理之後，我們就可以對這種合適的數據進行決策分類了。
  15. In this paper, the method combined with curvature mode shape, finite element method ( fem ), artificial neural networks ( ann ) and genetic algorithms ( ga ) is applied. the optimization of a taper trunk beam of variable cross section under impact load can be obtained on the base of considering the objectives of minimum gross mass and the condition of constrain of dynamic stress

    本文採用了曲率模態、有限元、神經網路和遺傳演算法相互結合的方法，對承受沖擊載荷作用的變截面懸臂箱型梁，在動應力滿足材料許用應力的約束下，以質量最小為目標函數，做了優化設計方面的研究。
  16. Artificial neural networks ( ann ) and genetic algorithm ( ga ) based on biology have been used widely because of their superiority

    人工神經網路和遺傳演算法是兩種以生物學為基礎的現代優化演算法，因其優越性而被廣泛應用於諸多領域。
  17. Artificial neural networks ann

    人工神經網路方法
  18. In this thesis, several issues concerning the machine learning and the classification of high dimensional multispectral data with limited training samples are addressed, which are based on statistic learning theory ( slt ), support vector machine ( svm ) and artificial neural networks ( ann ). the mai n work and results are outlined as follows : 1. the characteristics of high dimensional multispectral data are studied, and the difficulties that deteriorate the performance of the traditional pattern classification algorithms are carefully analyzed

    以統計學習理論（ statisticlearningtheory ? slt ） 、支持向量機（ supportvectormachine ? svm ）和人工神經網路（ artificialneuralnetworks ? ann ）為基礎，本文開展了以下幾個方面的研究工作：深入分析了高維多光譜數據的特點和傳統模式分類方法在高維多光譜數據分類中面臨的困難。
  19. As the most typical cognitive model of artificial neural networks ( ann ), traditional adaptive resonance theory ( art ) still can not simulate the human ' s multi - fold ambiguous perception for lacking of a controllable mechanism to adjust the system ' s vigilance parameter

    Art是神經網路認知模型中最典型的代表，但還沒有一種控制機制可以對該模型的注意參數進行調節，因而不能模擬人的認知中的多義感知的振蕩現象。
  20. This paper is aimed at demonstrating the validity of adapting artificial neural networks ( ann ) to model behavior of the building materials in macroscopic and microscopic aspects

    本文證明了人工神經網路（ ann ）應用於建築材料系統辨識領域的有效性，主要從微觀和宏觀兩個方面進行了研究。
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