特徵映射 的英文怎麼說

中文拼音 [tèzhǐyìngshè]
特徵映射 英文
characteristic mapping
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 映 : 動詞1. （因光線照射而顯出物體的形象） reflect; mirror; shine 2. （放映） project a movie
  • 射 : Ⅰ動詞1 （用推力或彈力送出） shoot; fire 2 （液體受到壓力迅速擠出） discharge in a jet 3 （放出） ...
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. Svm maps input vectors nonlinearly into a high dimensional feature space and constructs the optimum separating hyperplane in the spade to realize modulation recognition

    支撐矢量機把各個識別特徵映射到一個高維空間，並在高維空間中構造最優識別超平面分類數據，實現通信信號的調制識別。
  2. A sofm algorithm for vector quantizing

    基於自組織特徵映射的矢量量化方法
  3. Applying the classical pattern recogtiition theory anci ftiflcial neural networks method, this paper proposes the analog fault diahoes priricip1s with backward - propagation neural network ( i3pnn ) arid self - or ~ anizing feature map ( sofm ) neural network algorithm implementation

    本文提出了模擬電路故障診斷前向多層誤差反傳（ bp ）網路和自組織特徵映射（ sofm ）網路的演算法實現方法。
  4. The innovations of this thesis can be summarized into three points. firstly, the average relative velocity is introducd into a novel adptive weighted clustering algorithm as one important parameter of weight, then it increases the stability and self - adaptability of cluster head. secondly, a new approach to calculating weight is suggested by integrating subjective and objective factors. it is verified by comparison with other approaches to selecting weight. thus the velocity of weight responding to the changes of network topology is increased. finally, using a som neural network to create a classifying model enables every node to learn to identify by itself the role in manet

    本文的創新點有三個:首先本文在wca和aow分簇演算法的基礎上，引入了平均相對移動速度作為權值重要的參數，提出了一種新的基於權值的自適應分簇演算法，提高了簇頭在移動中的穩定性和自適應性;其次，提出了利用主客觀綜合賦權法確定權重的權值計算方法，通過與其他權重選擇方法比較，網路結構變化的權值響應速度得到了改進;最後，論文利用自組織特徵映射神經網路建立分類模型，使得網路中的節點可以自學習地確定簇中角色。
  5. Then analyze typical noises of the network based on bispectrum, get the wave characteristics according to bi - coherence function, and carry on the clustering analysis based on self - organizing feature mapping, so it realizes the clustering identification of the typical noises of medium - voltage power line

    而後對電網的典型噪聲進行雙譜分析，並通過雙相干函數提取其波形特徵，利用自組織特徵映射神經網路進行類聚分析，從而對特定中壓配電網的各種電網噪聲干擾進行分類識別。
  6. Based on the four principal components, the 18 chosen karst basins are classified into three types by the technique of som ( self - organizing map ). the laws of correlation of unclassified karst basins and classified karst basins are compared. as a result, the grades of the correlation between factors and low flow are higher than those of the formers

    為了使樣本具有代表性，論文利用自組織特徵映射網路（ som ）可以在無教師示教的情況下，實現對輸入模式的自組織分類的特點，以18個流域的主成分數據變量作為網路輸入，在som （ self - organizingmap ）網路中進行了分類，把18個喀斯特流域分成三大類。
  7. The kernel of the software consists of 4 clustering algorithms including pair - wise average linkage analysis, hierarchical clustering, self - organization feature mapping, and fuzzy clustering which is first applied in the field

    該軟體包含了兩兩平均連鎖聚類法、系統聚類法、自組織特徵映射法和模糊聚類等聚類演算法，其中模糊聚類演算法是首次用於基因表達模式分析。
  8. On the basis of the analyses of the generation rules of product manufacturing cost, data model of cost feature of products, its structure and application are presented on theory about feature mapping and object - oriented method, which lead to the concurrence of product design and product cost estimating

    通過對機加工產品的成本形成規律分析，利用特徵映射理論和面向對象方法，建立了面向設計的產品成本特徵數學模型，研究了該模型的構造和實現方法，該模型能夠適用於產品設計的各階段，實現產品設計與成本估算的并行。
  9. We separate nc machine tools structure into several structure characteristics while extract shape characteristics from machine tools, in this process, we quote the notion “ characteristic mapping ” and set up a series mapping relationship from structure domain to shape domain

    即通過對數控機床結構分解成若干結構特徵，再把造型也分解成若干可以反映總體特點的造型特徵，引入特徵映射的概念，建立由結構特徵域到造型特徵域的特徵映射關系。
  10. Improved self - organizing feature maps algorithm

    一種改進的自組織特徵映射演算法
  11. A kind of synthetic evaluation mode based on sofm networks

    基於自組織特徵映射網路的綜合評價模型
  12. The article introduces in detail the structure of index, and its realization of algorithm and schematic of program structure of self organizing map ( som ) ; and explains the feasibility of som through examples

    文章詳細介紹了索引結構及自組織特徵映射網路（ selforganizingmap ， som ） ，闡述了它在本軟體中的實現演算法和程序結構簡圖。
  13. This paper proposes a novel clustering algorithm based on a family of self - organizing feature map network according to the features of self - organizing feature map network. the algorithm is presented in detail in the paper. the simulated

    結合自組織神經網路的特點，提出自組織映射網路族的概念，在該概念的基礎上，提出一種新的基於自組織特徵映射網路的聚類演算法，詳細闡述了演算法步驟。
  14. The problem of temporal data mining with the single - character was discussed. a method of extracting single character, based on som, was proposed. experiments showed that the proposed algorithm was effective

    摘要對單屬性時態特徵聚類進行了研究，提出了一種基於som網路（自組織特徵映射）聚類提取單屬性時態數據特徵的方法，通過實驗表明此演算法是有效的。
  15. Simulating study of cfl learners ' chinese orthographic awareness development based on self - organizing feature map network

    基於自組織特徵映射網路的漢字習得模型
  16. Computational intelligence and its application in water conservancy and hydropower engineering ( ph. d. dissertation ) doctoral candidate : xu shigang supervisor : suo lisheng chen shoulun ( hohai university, nanjing, 210098 ) abstract computational intelligence ( ci ) which includes evolutionary computation ( ec ), neural networks ( nn ) and fuzzy system is a new subject developing rapidly

    計算智能包括進化計算、神經網路和模糊理論，是一門正在迅速發展的學科。本文對遺傳演算法、前饋神經網路、自組織特徵映射神經網路及雜合系統進行較為系統的研究，並將成果應用於水利水電工程中，形成了理論、方法與應用研究的完整體系，其主要內容如下： 1
  17. The important research is about the theory and methods of the cluster analysis in view of statistical theory, the theory and methods of fuzzy cluster analysis, the fkn " s structure and the fkn ' s study algorithm ( fkn, fuzzy kohonen network ) - the organic fusion of the fuzzy c - means algorithm and self - organized feature map neural network. the paper proposes the ifkn ( improved fkn ) on the basis of the hard classification idea and the soft classification idea, then carries on the cluster analysis of the artificial synthetic control chart time series through matlab program and tt ? cluster result matches the cluster result of the famous dataengine " s software of the intellectual data analysis and data mining from german mit company. finally, the paper discusses the applying of the cluster analysis to the control process, which can be widely applied to the pattern recognition of the parameter " s changing trend during the control process and the image partition processing, and utilizes the ifkn to recognize the thermotechnical parameter " s changing trend based on the engineering of clinker sintering rotary kiln automatic control system of guizhou " s aluminium factory, through which good effect is obtained

    數據挖掘技術在商業領域中已廣泛使用，然而在工業過程式控制制中的應用卻極少，本文正是在這種背景下，對數據挖掘中的聚類分析方法及其在工業過程式控制制中的應用研究作了償試，重點研究了基於統計理論的聚類分析理論和方法，模糊聚類分析理論和方法及模糊kohonen網路（ fkn ）的結構與學習演算法，即模糊c ? ?均值演算法與自組織特徵映射神經網路（ kohonen網路）的有機融合，並根據硬分類思想及軟分類思想提出了改進的模糊kohonen網路（ ifkn ） ，通過matlab編程對人工合成控制時序圖數據集進行聚類分析，其聚類效果與當今廣泛使用的數掘挖掘軟體平臺，德國mit公司著名的dataengine智能數據分析和數掘挖掘軟體的聚類效果相當，最後，論述了聚類分析在控制中的應用，它可以用於過程式控制制中的參數變化趨勢的模式識別及圖象分割處理等具體應用中，並以貴州鋁廠熟料燒結回轉窯自動控制系統為工程背景，利用ifkn識別其熱工參量變化趨勢，取得了較理想的效果。
  18. Parts feature mapping of the non - geometrical shape from desing domain to manufacture domain

    設計域到製造域的零件非幾何形狀特徵映射
  19. However, some of face recognition problems still require further development, this is the case for problems of recognition face images conveying changes in illumination, facial expression and changes due to the time delay between the acquistion of the reference and tested face images. our main work is to analysis methods of extraction face features and contraction of classifier. the work presented in this paper is to apply self - organizing feature map and minor component to extraction features from multi - view face images, then combine those features as a new combined feature set, in order to reduce redundancy data, we apply clone algorithms to reduce data through rotation in input space

    我們改進了一種基於矩理論的識別方法，給出了計算公式和證明過程，可用於解決小規模人臉識別問題；我們將智能方法應用到人臉識別中，分別利用自組織特徵映射和次分量方法抽取人臉的整體特徵和局部特徵，依據特徵融合理論，重新組合為新的復合特徵，為壓縮特徵數據，我們首次引入克隆選擇演算法自動進行特徵優化選擇，最後，利用支持矢量機構造多分類器進行分類識別，在不同規模人臉識別庫上模擬結果表明，該系統自適應能力強，分類識別精度高，適用於大規模復雜人臉識別問題。
  20. But its weight adjustment is determined only by its learning rate and the difference between the input pattern and the winner neuron ' s weight. it seems that the som obviously ignores some ( implicit ) correlative relationships during the learning, which actually exist between the input

    自組織特徵映射權值的調整僅考慮了學習率及輸入模式與鄰域內權值之間的關系，忽略了輸入模式分量與全體參與競爭的神經元權值向量間的某種相關關系。
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