神經噪聲 的英文怎麼說

中文拼音 [shénjīngzàoshēng]
神經噪聲 英文
neural noise
  • 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
  • 噪 : 動詞1. （蟲或鳥叫） chirp 2. （大聲叫嚷） make noise; make an uproar; clamour
  • 神經 : nerve; nervus
  1. To sum up, tested and validated by data sets of shenzhou iv unmanned spacecraft and precise orbit ephemeris, the algorithms presented in the thesis can improve orbit accuracy and reduce random noise considerablely. derived conclusions have important value for reference, and lay the firm technological foundation for future applications

    總之，經過神舟四號飛船實測數據計算和精密星歷檢驗，表明本文提出的各種定軌方法可以較好的提高定軌精度，減少隨機噪聲，所得出的結論對于實際應用具有重要的參考價值，並為將來的應用奠定了堅實的技術基礎。
  2. The noise constantly is not affecting our normal life, for example ; just repaired the family, to the quiet at dead of night building about the water pipe noise, has caused you to be unable normally to rest, the senior citizen, the neurasthenia, the heart was not specially good and so on the community, was is unable to rest, the saint porch company produced " the down - flow pipe sound insulation wrap " the product, fundamentally has solved this problem, this product has used the advanced sound insulation, the sound absorption, the material, passed through the specialized technical many years research development, and experimented after the beijing ten plots different levels owner, the sound - insulated effect achieved above 90 %, satisfaction rate reached above 99 %, did not have an example suit, received the owners universal welcome

    噪音無時無刻不在影響著我們正常的生活，例如；一個剛剛裝修完的家庭，到了夜深人靜樓上下水管的噪聲，使你無法正常休息，特別是老年人，神經衰弱，心臟不好等群體，更是無法休息，聖軒公司生產的「下水管隔聲套」產品，從根本上解決了這個問題，此產品採用了先進的隔音，吸音，材料，經過專業技術多年的研究開發，並經過北京十個小區不同層次業主試驗，隔音效果達到90 %以上，滿意率達99 %以上，無一例投訴，受到業主們普遍歡迎。
  3. In present study, we obtained large numbers of phasic discharge pattern neurons, which play important role in analysis and perception of sound signal from environment with background noise

    實驗中所記錄到的大量phasic神經元在分析背景噪聲中的聲信號，以及聲信號的識別方面可能扮演重要角色，因為聽覺認知的最初階段就是信號識別。
  4. In attempt to directly compare the sound response characters of the same bf neurons or different bf neurons and their interactive relation, the double recording microelectrodes were penetrated into two different neurons in iso - frequnency laminas or hetero - frequency laminas. taking advantage of frequency tonotopical arrangement in 1c of bats, it was explored how the neurons integrated different parallel processes of the same sound information. in the case of which, we hoped to explore the relation between the sound response characters of the central auditory neurons and neural modulation in background noise for the further understanding of the mechanism in the central auditory neurons extracting sound signals

    本研究以大棕蝠（ bigbrownbat ， eptesicusfuscus ）為模型，利用ic聲調組構排列成同頻層這一結構特點，突破單電極記錄和檢測神經元的方法，同時推進兩單電極至一個同頻層或兩個同頻層的兩個不同神經元，試圖從細胞水平直接比較兩個具有相同和不同最佳頻率的神經元聲信號的加工處理特徵、以及它們之間的相互關系，以期窺探它們在對同一聲信號處理過程中的整合奧秘，並以此為基礎分析和探討背景噪聲條件下中樞神經元聲反應特徵與神經調制的關系，以期進一步了解中樞聽神經元聲信號提取的機制。
  5. It showed that activated inhibition by weak noise could be gabaergic inhibition. from above the findings, we could give a hypothesis that the input of random oscillation induced by noise in the cochlea to central auditory system could be integrated in the central auditory nucleus and the response of sound - sensitive neuron to sound stimuli could be adjusted to an optimum state for signal intensity coding

    根據這些變化可以推測，這種背景噪聲的生物學作用可能是通過弱噪聲所引起的耳蝸隨機共振的輸入，在上行過程中經各級聽覺核團的整合，將中樞聲敏感神經元調定在一種準備狀態，並定型放電率函數和調制神經元對聲馨碩士學位論文master 』 st砰iesis強的編碼。
  6. This study showed that the mt and sharpness of frequency tuning curves increased as the sound direction changed from contralateral to ipsilateral azimuthal angles. it suggests that sound direction effect on frequency tuning may be through the complex interplay between the excitatory and inhibitory inputs. the application of gaba ( a ) antagonist, bicuculline, lowered all mts but the application did not abolish direction - dependent variation in mt

    聽皮層的抑制性影響使大多數神經元在蝙蝠最敏感的聲源方位c - 40的頻率分辨能力明顯提高，同時使c - 40和i - 40的最低閾值的差別進一步增大，提高了信噪比，提高下丘聽神經元對聲源方位和最佳頻率的分辨能力。
  7. Two nonlinear simulation methods are designed by curve fitting method and anfis which seem simply and right in the simulation experiment. based on the model different control strategies also were realized in detail such as chopped current control ( ccc ), angular position control ( apc ), amplitude - change ccc and pi control. a simple torque sharing function ( tsf ) method and a tsf controller were designed which decreases torque ripple effectively

    文章中還建立一種基於模糊神經網路的非線性模型，並對比分析了三種方法，模擬中確定了電機的最優開通關斷角，在此基礎上實現了電流斬波控制、角度位置控制、變幅值電流斬波控制以及分段雙閉環pi控制，模擬結果表明，它實現了電機的正常運行，很好的抑止了電機轉矩脈動，同時有效地降低了噪聲。
  8. 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。
  9. Impulse noise filter based on fuzzy neural network

    基於模糊神經網路的脈沖噪聲濾波器
  10. 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。
  11. In order to study the effect of weak noise on the sound signal extraction of mouse ( mus musculus km ) inferior collicular ( ic ) neurons from environment, we examined the change in frequency tuning of neuron induced by a weak noise relative to 5 db below minimum threshold ( remt - 5 db ) of tone. 12 healthy adult mice ( 20 - 25 g, b. wt. )

    本實驗旨在探討弱噪聲對小鼠（ musmusculuskm ）中腦下丘（ inferiorcolliculusic ）神經元聲信號提取的影響及其神經機制，我們選用相當于純音閾下5db的白噪聲（ whitenoise ） ，比較加入噪聲前後神經元頻率調諧曲線的變化和注射-氨基丁酸（ - aminobutyricacid ， gaba ）能受體拮抗劑荷包牡丹堿（ bicuculline ， bic ）后對該變化的影響。
  12. A b - p neural network classifier is designed to the classification of three types of ship by using the feature vectors. the average correct recognition rate of three types ship reaches to 80 %. the result show that the above techniques based on hos are valid

    將上述方法所提取的線譜和連續譜特徵作為特徵參量，採用b - p神經網路對三類船舶實際噪聲樣本進行識別分類，平均正確識別率達到80 。
  13. A neural network - based on substructural identification was presented for the estimation of the parameters of a complex structural system, particularly for the case with noisy and incomplete measurement of the modal data

    應用神經網路和動態子結構模型完成復雜結構的參數識別，尤其考慮了模態數據中包含噪聲和不完備西安建築科技大學博士論文測量信息的情況。
  14. In order to overcome problems arisen from the application of x fluorescence analysis into complex spectrum produced by archaeological ceramic fragments with multi - element, low content and thick ground, we have employed the artificial neural network into the research of x fluorescence archaeology and conducted three kinds of research works. as the first one, we have applied the linear olam network ( optimal linear association memory network ) and the non - linear bp network ( back - propagation network ) respectively to analyze the complex x fluorescence spectrum of archaeological samples, and taken both results of spectrum analysis to compare with each other. the second, the method of pattern recognition of bp network was tentatively used to perform intelligent identification of production places of these archaeological samples

    針對科技考古中對大量考古陶片進行產地研究時x熒光分析對多元素、低含量、厚基底考古陶片產生的復雜譜分析的問題，將人工神經網路引入x熒光考古中，進行了三方面的研究工作：一是用線性olam網路（最優線性聯想網路）和非線性bp網路（誤差反傳導網路）分別對考古樣品的x熒光復雜譜進行解譜，並比較二者的解譜效果；二是用bp網路模式識別方法對考古樣品的產地進行智能識別；三是為了提高網路運算的可靠性和減小基體效應及電噪聲的干擾和影響，研究並提出了三種網路學習前的譜數據預處理方法。
  15. Based on the clonal selection theory and immune memory mechanism in the natural immune system, a novel artificial immune system algorithm, clonal strategy algorithm based on the immune memory csaim is proposed in this paper. the algorithm realizes the evolution of antibody population and the evolution of memory unit at the same time, and by using clonal selection operator, the global optimal computation can be combined with the local searching

    人工免疫系統ais是一新的模擬自然免疫系統的計算智能方法，它受生物免疫機制的啟發，通過學習外界物質的自然防禦機理，提供噪聲忍耐自組織自學習記憶等進化學習機制，結合了分類器神經網路和機器推理等的特點，因此具有提供解決問題新穎方法的潛力。
  16. On the other hand, inhibitory areas of ftc could be abolished partially or completely during bicuculline application. these results showed that gabaergic inhibitory afferent projections to recorded neurons were activated by random resonance caused by weak noise in cochlea, which provided inhibitory input for sharpening frequency tuning and made neuron more precisely analyze sound signal near its bf. therefore, this experiment presented a possible evidence of cellular level for interpreting why human and animal could extract or capture sound signal of specific frequency from the environment with competing noise

    說明山弱噪聲引起的耳蝸隨機共振在_ _仁行傳入過程中可能激活了至所一記錄的jc神經元的gaba能抑制性神經迴路，這種gaba能抑制為銳化神經元頻率調諧提供了一種抑制性輸入，使ic神經元對靠近最佳頻率的頻率分析變得更為細致和精確，由於聲頻率是聲信號的重要參數和信息載體，頻率調諧的銳化意味著對聲頻率分析能力增強，從而為解釋人們為什麼能從充滿噪聲的環境中捕捉或提取與行為學相關的信號提供了一種細胞水平的實驗證據。
  17. The noise were often attached to the real hydrology time series yield by some unknown factors. to reduce the influence of them to the bp networks, the wavelet soft - threshold de - noising method was employed before bp networks began to train

    實測的水文數據中常常帶有由於許多未知因素的干擾而產生的噪聲，為減少噪聲對bp神經網路訓練過程的干擾，先用小波軟閾值技術對原始徑流序列進行降噪然後再進行網路訓練。
  18. First, the basic theory of the competitiveness is analyzed, evaluating indexes which conclude relative and absolute indexes basic on the last literatures are set up. second, because the data are too many and computing time is too long, the competitiveness of science and technology of 30 areas are clustered using fuzzy clustering model, the areas of the whole nation are clustered several kinds and we can draw some conclusions of same kind. evaluating the competitiveness using single model can produce white noise, so combinational models which concluding neural network, fuzzy theory and genetic algorithm are brought forward to evaluate the competitiveness of areas which are in the same kind with fujian province in the test

    本文首先分析科技競爭力的基本理論，並根據以往研究科技競爭力文獻，建立包含絕對指標和相對指標的評價科技競爭力評價指標體系，其次，針對評價福建省科技競爭力在全國范圍內的排名情況數據較多，計算時間較長的具體情況，利用模糊神經網路模型對全國30個省市自治區科技競爭力水平進行聚類分析，將科技競爭力水平接近的地區聚為一類，得出科技競爭力水平相近地區情況，而後，針對已有文獻科技競爭力評價只是利用單一模型可能產生噪聲，影響評價結果，並且主觀性較強的缺點，本文將神經網路、模糊數學、遺傳演算法等智能演算法組合，利用組合評價模型對福建省和與福建省同在一類的其它地區的科技競爭力水平進行橫向、縱向評價，得出福建省在全國范圍內的科技競爭力水平排名。
  19. Effect of noise on content of monoamine neurotransmitter in plasma

    噪聲對血漿中單胺類神經遞質含量的影響
  20. Suggesting that the sensitivity of ic neuron to intensity change was weaker under the quiet conditions than the noise environment. it makes benefit to catch the rapid intensity fluctuations, which are thought to be important information - bearing parameters for signal processing, in human speech of " cocktail party effect " and specific communication signals of other species

    盡管弱噪聲抑制使神經元感受強度的范圍縮小，但對強度變化的敏感性卻提高，這對人在「雞尾酒會」場景下的言語交流和動物在充滿噪聲的自然環境中的聲通訊，捕捉重要的信息載體參數一信號強度以及感受強度的動態變化的能力提供了生物學基礎和演化適應的證據。
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