概率神經網路 的英文怎麼說

中文拼音 [gàilǜshénjīngwǎnglù]
概率神經網路 英文
pnn probabilistic neural network
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 神 : Ⅰ名詞1 （神靈） god; deity; divinity 2 （精神; 精力） spirit; mind 3 （神氣; 神情） expression; l...
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  • 神經 : nerve; nervus
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. Comprehensive identification and field treatment for common faults of load tap changer of power transformer

    基於概率神經網路的電力變壓器故障診斷
  2. It is found that the existence of a maximum in the snr is the identifying characteristic of the sr phenomenon. " the main - unexpected - - novelty is the dependence of the effect on initial condition. " ( report of the phys. rev. e referee ) the coherence resonance ( cr ) and the stochastic resonance ( sr ) phenomenon in a globally coupled fitzhugh - nagumo neurons model are studied

    Ohyreve審稿人語）在對fhn神經模型的共振現象研究中，我們考慮一個存在耦合的多個神經細胞相互作用的神經網路，利用平均場理論和概率躍遷理論，得到了神經系統在無信號和有周期性信號的兩種倩況下的靜息電位。
  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. Secondly, we use the hmm neural network to recognize on - line handwritten character

    概率神經網路用於聯機手寫字元的識別。
  5. But the results have shown that the hmm neural network can work successfully on the recognition of handwritten characters

    但是我們的試驗結果表明，概率神經網路可以成功的用於聯機手寫字元的識別問題。
  6. Because ga possesses the traits of can global random search, the robustness is strong, been use briefly and broadly, it didn ’ t use path search, and use probability search, didn ’ t care inherence rule of problem itself, can search the global optimum points effectively and rapidly in great vector space of complicated, many peak values, cannot differentiable. so it can offset the shortages of nn study algorithm, can reduce the possibility that the minimum value get into local greatly, the speed of convergence can improve, interpolation time shorten greatly, the quantity of training reduce

    因為遺傳演算法具有全局隨機搜索能力，魯棒性強、使用簡單和廣泛的特點，它不採用路徑搜索，而採用概率搜索，不用關心問題本身的內在規律，能夠在復雜的、多峰值的、不可微的大矢量空間中迅速有效地尋找到全局最優解，所以可以彌補神經網路學習演算法的不足，使陷入局部最小值的可能性大大減少，使得收斂速度提高，訓練量減小。
  7. Structural damage localization using probabilistic neural network

    用概率神經網路進行結構損傷位置識別
  8. Improving the recognition rate of eeg in bci based on genetic algorithm and probabilistic neural network

    基於遺傳演算法和概率神經網路提高腦機介面中腦電信號識別率
  9. This paper analyzed the strong relationship between color features and human sensations and showed how high - level emotional representation of painting can be inferred form perceptual level features suited for the particular classes ( elegance vs. flaring )

    分析了服裝圖像的顏色特徵與情感之間的相關性，採用概率神經網路作為分類演算法來完成情感語義分類。
  10. Structural damage detection based on adaptive probabilistic neural network

    自適應概率神經網路結構損傷檢測
  11. Fuzzy probabilistic neural network water quality evaluation model and its application

    模糊概率神經網路水質評價模型及其應用
  12. Application of probabilistic neural network in text - independent speaker identification

    概率神經網路在文本無關說話人識別中的應用
  13. Radial basis function based probabilistic neural network in arrhythmia classification

    基於徑向基函數概率神經網路的心律失常自動識別
  14. ( 2 ) an efficient training algorithm for pnn using the minimum classification error criterion is presented

    （ 2 ）提出了一種基於最小分類錯誤準則的概率神經網路的訓練演算法。
  15. Delineation of coastal region of south china - with matlab to create radial basis probabilistic neural network

    華南沿海潛在震源區劃分運用matlab徑向基概率神經網路工具箱求解
  16. The fist step is to judge the damaged sub - area of the structure, which is divided into several sub - areas, using probability neural networks with neural frequencies shift ratio input, and the next step is to diagnose the exact damage location and extent using rbf neural network with the second element end strain mode of the damaged sub - area input

    即按照先查找結構損傷區域，后進行損傷位置與程度診斷的思想，首先將結構分為若干個子區域，根據結構損傷前後的自振頻率變化比，應用概率神經網路，進行結構損傷子區域的判定。然後，根據損傷子區域內的應變模態變化，應用徑向基神經網路診斷結構的損傷位置與程度。
  17. In this dissertation, several technology problems of pulse trains deintrleaving algorithms are dealt with, they are presorting techniques based on coherent processor, probabilistic neural network deinterleavers, adaptive data association methods for pulse trains analysis and deinterleaving, signal processor designing issues. the research is focused on real time processing. the coherent processor is a crucial technique for real time presorting

    本論文研究高密度復雜信號下的脈沖列去交錯技術的若干問題，包括基於關聯比較器的信號預分選技術研究；概率神經網路脈沖去交錯器的研究與設計；卡爾曼濾波和概率數據關聯方法用於脈沖列分析和去交錯；雷達截獲系統信號處理器設計等等。
  18. Probabilistic neural network ( pnn ) is a classification network, which is based on bayesian decision theory and probability function estimation theory

    D . f . specht提出的概率神經網路（ probabilisticneuralnetwork ， pnn ）是基於密度函數估計和貝葉斯決策理論而建立的一種分類網路
  19. Compared with other people ' s work, we focus on recognizing characters with combination of hmm and neural networks. it makes use of the good performance of neural networks, and avoid the limitation that neural networks are not good at performing the real - time work

    與其他學者的一些工作相比，本文側重於對使用概率神經網路的方法對聯機手寫進行識別，既利用了神經網路優異的分類性能，又避免了一般的神經網路實時性差的弱點。
  20. These coherent processors can fulfill arbitrary complex parameters. chapter 4 puts forward two deinterleaving methods based on probabilistic neural network ( pnn ). the self - organization pnn deinterleaver is suitable for unknown emitters, while the rbpnn deinterleaver is suitable for known emitters

    神經網路用於脈沖列去交錯是國內外一直關注的解決方案，論文第四章討論了基於概率的分類原理，提出了兩種概率神經網路脈沖去交錯器結構，分別適用於未知輻射源及具有先驗信息輻射源兩種情況。
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