neural noise 中文意思是什麼
neural noise
解釋
神經噪聲-
Output can be obtain, next we use our designed the wavelet soft threshold to select result of the wavelet transform, finally, we give the selected result reversal wavelet transform. it is obvious : the wavelet soft threshold is important to improve the quality of the gray image processing. i give the donoho wavelet soft threshold a modified value method, which has a relation with ratio of signal - noise. i made full use of discrete hop field single feedback neural network, and nonlinear steady of automatic system at last, i obtained a steady limited ring, give the energy function an order differential a optimal
我的思路是：改造現有圖形結構，先建立能反映信噪比大小且含待定參數k的表達式，然後通過離散型h0pfi舊單層反饋神經網路，再結合前邊的混合濾波器構成一個非線性控制系統，寫出對應的網路函數，利用相平面法和李雅普諾大穩定性的判據，得到一個穩定的極限環，從而確定出參數卜的范圍，進而再對原來的小波軟閾值進行修正，用修正後的值作為小波閾值。 -
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。 -
Impulse noise filter based on fuzzy neural network
基於模糊神經網路的脈沖噪聲濾波器 -
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。 -
Detection of lung cancer in x - ray radiography with strong noise using artificial neural network
線圖像中癌變病灶信息的人工神經網路檢測 -
A century ago, freud formulated his revolutionary theory that dreams were the disguised shadows of our unconscious desires and fears ; by the late 1970s, neurologists had switched to thinking of them as just “ mental noise ” ? the random byproducts of the neural ? repair work that goes on during sleep
一個世紀前，弗洛伊德完成了其革命性的理論，認為夢掩飾我們潛意識中的慾望和恐懼；到了20世紀70年代末期，神經病學家們轉而認為夢只是「精神噪音」 ，即夢是睡眠時神經修復工作的一種隨機副產品。 -
A century ago ， freud formulated his revolutionary theory that dreams were the disguised shadows of our unconscious desires and fears ； by the late 1970s ， neurologists had switched to thinking of them as just “ mental noise ” ? the random byproducts of the neural ? repair work that goes on during sleep
譯文一個世紀前，弗洛伊德完成了其革命性的理論，認為夢掩飾我們潛意識中的慾望和恐懼；到了20世紀70年代末期，神經病學家們轉而認為夢只是「精神噪音」 ，即夢是睡眠時神經修復工作的一種隨機副產品。 -
In order to improve signal noise ratio ( snr ), wavelet denoising is used, and the radar in - pulse characteristics is extracted by wavelet - ridge, radar emitter signal sorting is realized by neural networks
該方法首先對接收到的雷達信號進行小波去噪，達到提高信噪比的目的，然後利用小波脊線法準確提取其脈內特徵參數，最後基於神經網路實現信號的分選。 -
The paper forms the three information measures into measure vector as the input of cmac - cerebellar model articulation controller neural network and proposes a method of edge detection based on information measures and cmac. the edge contours generated by this method is very legible. the method has a high runtime performance and improves the resistance to noise
本文將圖像的三個信息測度作為分量組成邊緣特徵的測度向量，作為小腦模型神經元網路? cmac的輸入，提出一種基於信息測度和cmac網路的邊緣檢測方法，用該法得到的邊緣輪廓清晰，實時性好，並且抗噪能力有明顯提高：將上述邊緣檢測方法應用於無人值守變電站，提出一種瓷瓶裂紋故障監控方案。 -
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。 -
In the thesis, we select the mel - frequency cepstrum coefficients based on analyzing a lot of parameters of speech signal. mel cepstrum is of better recognition and anti - noise capability. ( 2 ) dynamic time warping, vector quantization, hidden markov model and artificial neural network can be used in speaker recognition
（ 2 ）現有的說話人識別方法有動態時間規整法、矢量量化法、隱馬爾可夫模型和神經網路法等，其中hmm已成為目前最佳的說話人識別處理模型。 -
Research on forecasting model of incidence rate of deafness induced by instable state noise based on bp neural network
基於人工神經網路的非穩態噪聲性耳聾發病率預測模型的研究 -
This thesis firstly gives a detailed analysis of the mechanism of pulse - coupled neural networks ( simplified as pcnn ), and then emphasizes its applications on image noise removal and edge detection
本文在分析脈沖耦合神經網路（ pulse - coupledneuralnetworks ，以下簡稱pcnn ）工作機理的基礎上，著重研究了它在圖像濾波和圖像邊緣檢測中的應用。 -
The noise estimation theory of the gps / ins integrated navigation system and the error analysis is are systematically discussed in this dissertation. at first the paper briefly introduce the error of the integrated system and the cause of the error, and give an estimation model of the error. in order to solve the precise estimation of the error using artificial neural network, then an artificial neural network model is discussed
本論文首先介紹了gps慣性組合導航系統的誤差和誤差模型，綜述了gps和慣導系統的誤差和誤差來源，給出了這兩種導航系統的誤差方程，討論了導航系統中常用的數據處理方法?卡爾曼濾波，給出卡爾曼濾波的基本方程，深入研究了卡爾曼濾波在組合導航系統數據融合中的應用。 -
Neural spike sorting under low signal - to - noise ratio
低信噪比神經元鋒電位信號的分類方法 -
Active noise control using a diagonal recurrent neural network
噪聲有源控制的遞歸神經網路方法 -
Passive suspension, pid control semi - active suspension and neural network control semi - active suspension are researched by simulation. white noise, sine wave and sawtooth wave are used for excitation. the root mean square value of vehicle body acceleration, suspension displacement and vehicle wheel load are analyzed
在模擬研究中，路面激勵取為白噪聲、正弦波和鋸齒波，懸架類型採用被動懸架、 pid控制半主動懸架、神經網路控制半主動懸架三種。 -
White noise acting as inspirit signal, the experiment data is collected. utilizing these data and error back propagating identification method, different neuron and input - output delay are selected. by comparing approximation ability and generalization ability, the neural networks model in position mode and velocity mode is identified
並以模擬白噪聲為激勵信號，收集了數據;利用實際收集的數據，採用誤差反傳的辨識方法，選擇不同神經元及輸入輸出延時量的模型，通過比較網路的逼近能力和泛化能力，辨識得到了位置和速度兩種工作模式下的方位通道的神經網路模型。 -
In the thesis, from a new point of view, we investigate the application of non - linear dynamics into the turbo codes and mud area, namely, how the chaos dynamics can be applied in turbo codes development, and how the chaos and neural networks dynamics can be applied in mud. the main contribution of the thesis can be summarized as follows : 1. an iterative decoding algorithm based on map ( maximum a priority ) and soya ( soft output of viterbi algorithm ) in awgn ( additive white gauss noise ) channel is proposed, and the effectiveness of the algorithm is justified by simulation performed on awgn and rayleigh fading channels
為介紹本文作者的創新工作，在論文簡要講述3g 4g的發展過程及其關鍵技術，其中著重介紹turbo碼和多用戶檢測的發展過程、研究內容和基本原理之後詳細介紹了作者的如下貢獻和創新： 1 、根據turbo碼的迭代譯碼原理，系統地推導出awgn通道中turbo碼基於map和sova的迭代譯碼演算法，演算法的有效性由awgn通道和rayleigh衰落通道下的性能模擬得到證實。 -
Influence of the noise on english letters recognition by neural network model
英文字母中的噪聲信號對神經網路模型識別的影響
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