隱神經 的英文怎麼說
中文拼音 [yǐnshénjīng]
隱神經
英文
nervi saphenus-
The abruption of explicit and implicit processing and its neural basis in the neuropsychological disorders of visual perception
視知覺神經心理障礙的內隱和外顯加工分離及其神經基礎In algorithms, classification algorithms are divided into two cases : one for known statistical distribution model and the other for unknown statistical distribution model. four classification algorithms, the bata - prime statistic model fusing quadratic gamma classifier, based on sar image rcs reconstruction and space position mode, on the mixed double hint layers rbfn ( mdhrbfn ) model and on the self - adapt fuzzy rbfn ( afrbfn ) model, are derived. the problems, including how to further improving the class ratio of the bayes decision, decreasing the dependence on the statistical model and directly providing the adapted algorithm with samples, are solved
提出了基於徑向基函數神經網路（ rbfn ）的雙隱層混合網路（ mdhrbfn ）模型，解決了標準神經網路在具體sar圖像地物分類中分類類別數目不夠和分類精度差的問題；提出了基於模糊推理系統的自適應模糊rbfn分類（ afrbfn ）模型，兼顧通用性與精確性，增強人機交互能力，進一步提高了演算法分類率。Implicit polynomial curve based on bp neural network
神經網路的隱式曲線構造方法Firstly, second harmonic component ratio and dead angles of two phase inrush ' s dispersion in three - phase transformes are acted as input variable. secondly, the method applies improved algorithm based on the original algorithm of multi - layer forward back propagation network, that is to say, adding last variational effect of weight value and bias value to this time and making use of variable learning rate. at the same time, this method also adopts dynamic form in the number of hidden floor node
首先，文中將三相變壓器兩相涌流差流的二次諧波含量比和間斷角作為網路的輸入變量；其次，利用對原有bp網路訓練演算法基礎上的改進型演算法（即在計算本次權值和閾值的變化時增加上一次權值和閾值變化的影響以及採用變學習率，與此同時隱含層神經元個數採用動態形式） ，通過樣本訓練使網路結構模型達到最優。We deduce frondose algorithm of three layers bp neural networks which is used in common, and discuss several important issues in designing neural networks which is used to forecast, for example, number of hidden layer, nerve cell number of hidden layer, epoch of learning, embryonic power value, decision of node number about input and outputo at the same time, this dissertation sums up things that conventional bp algorithm is improved on considering disadvantages of it
3推導了常用的三層bp神經網路具體演算法，討論了實際預測應用中神經網路設計方面的幾個重要問題，如隱層數、隱層神經元數、訓練次數、初始權值、輸入節點數以及輸出節點數的確定。同時，針對傳統bp演算法存在的各種各樣的缺點，文中綜述了對其改進的情況。Furthermore, due to the symmetry restriction of traditional radial basis function networks ( rbfn ) with gaussian function, the asymmetric gaussian basis function ( agbf ) is proposed to construct the full adaptive agbfn. because the asymmetry gaussian function ' s variability and malleability are higher than the traditional one, the asymmetry gaussian basis function can provide the agbfn which own a higher flexibility and can approach the true result more easily
針對這一問題，文中提出了一種全自適應的不對稱高斯基函數網路（ agbfn ）結構，網路的基函數採用具有不對稱寬度的偽高斯函數，和常規的高斯函數相比，具有更大的可變性和延展性，從而使得隱層神經元在函數近似上具有更高的適應性，提高了神經網路的學習能力。A experienced equation which is summarized by many experiments is used to determine the number of mesosphere nerve cell and a sort of new square - sum function of errors is adopted. its characteristic is that weight errors of possible exceptional point is less. accordingly, the effect of errors of possible exceptional point is reduced, which make actual function relation simulation easier
本系統針對bp演算法的局限性，給出了一種優化的bp演算法，採用經過大量實驗總結出的經驗公式來確定隱層神經元的個數，並選取了一種新的誤差平方和函數，該函數的特點是對一些可能的異常點的誤差權值設計的較小，從而降低了異常值誤差帶來的影響，便於模擬出真實的函數關系。In addition, many other problems also exist in hardware neural network, including error problem, learning mode, parallel architecture, and also neural network inner linking problem, hidden layer and the realization of the multiplicator and etc. for instance, error problem : hardware neural network employs the limited precision, and will inevitably bring limited precision error
另外，硬體實現神經網路還存在誤差問題，學習方式，并行結構等方面的問題，還有神經網路內部的連接問題，隱層及乘法器的實現等等。如誤差問題，硬體實現神經網路使用的是有限精度，不可避免的會產生有限精度誤差，選取合適的精度，才能既適合空間的要求，又避免對網路的實現產生一定的影響。Hidden markov models have been widely used for modeling sequences of weakly dependent random variables, with applications in as such as speech processing, neurophysiology and biology
隱馬爾可夫模型可應用於弱相依隨機變量的建模上，也可用作研究發音過程、神經生理學與生物遺傳等方面的工具。The final diagnosis turned out to be mumps deafness in 3 patients, otic ototoxicity in 1, cryptococcal meningitis in 1 and neurofibromatosis in 1 patient
其中三例為腮腺炎性耳聾，一例為耳滴濟中毒癥，一例為隱球菌性腦膜炎，一例為多發性神經纖維瘤癥。It is believed that the same color metaphors in both the languages are always related to peoples ' same physiological system and their visual nerve system ; on the contrary, different metaphors for colors always do with the specific historical context and social customs of language - using
認為在漢語和英語中，相同的顏色隱喻，往往與各民族相同的生理機制和視覺神經系統有關；而顏色的不同隱喻，則與語言運用的特定歷史背景和社會習俗有關。The laboratory has proposed several speaker recognition methods involving computational auditory models, modular neural networks, gaussian mixed models, hidden markov models, and implemented a recognition framework combining semantic and voiceprint information
實驗室提出了基於聽覺計算模型、模塊化神經網路、高斯混合模型、隱馬爾科夫模型等說話人識別方法，以及結合語義和聲紋信息的說話人識別框架。3 ) pca - bp, the approach combining statistic theory and neural network technique, is systematically analyzed. ad hoc approaches for choosing some key parameters of the model are presented
3 ）本文在系統分析了基於pca - bp的建模原理后，對人工神經網路模型的關鍵參數即隱層節點數的確定作了較為深入的探討，總結出了比較有效的取值方法。It is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems
在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢，但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重，並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重，而且降低了估算誤差，具有及時應用最新數據學習的能力.此外，該方法易於在直升機設計系統中得到應用In order to improve generalization capability of feedforward neural networks, the convinced networks generalization domain should be guaranteed to be close to networks input domain as maximal intrinsic error of networks output and maximal samples error are reduced by increasing hidden neurons in number in the progress of networks learning, otherwise generalization capability of feedforward neural networks is likely to be decreased
為了提高網路的泛化性能，從理論上分析指出，在網路學習過程中通過增加隱含層神經元來降低網路最大固有誤差和最大樣本誤差的同時，要求確保網路泛化定義域盡可能接近網路輸入定義域，否則將有可能降低網路的泛化性能。The main purpose of this paper is to investigate the application of the neuron network for the daily exchange rate forecasting. generalized cross validation is introduced to determine the number of nodes of the hidden layer, several well known time series forecasting methods are also compared with the nn method in this paper
討論了人工神經網路在金融匯率預報中的應用。其中介紹了廣義交互驗證generalized cross validation法如何應用於確定神經網路中隱層的個數，並用實例說明了該方法甚至對復雜的非線性函數也可以得到很好的逼近。In the second layer, k - nearest neighbor algorithm is introduced to ascertain searching scope firstly, and then the nerve cell function ' s parameter in hidden layers begin to be evolved in this scope. the least - square is also introduced to calculate connection power between hidden layer and output layer
其中在第二級演化中，先用最小鄰聚法確定搜索空間，然後再在此空廣西大學頎十論文i 13f神經網路在ect圖像重注中的應用研穴間內進行演化，其中用最小二乘法來確定從隱層到輸出層的連接權值。Examples indicate that the method is available and exact for implicit expressed performance function, and it is a new and effective way for structure reliability analysis
實例數值結果表明，基於神經網路將隱式函數轉化為明確表達的極限狀態方程是可行的，同時該方法具有較高的精度，為結構可靠度計算提供了新的有效思路和手段。Cognitive neuroscientists make sense of such cases by delineating different memory systems that process information “ explicitly ” ( consciously ) and “ implicitly ” ( unconsciously )
認知神經科學家為了解釋這種現象，便將記憶分為處理外顯型（意識）與內隱型（無意識）訊息的兩種系統。Repair of severe contracture of anticheirotonus of the hand with medial skin flap of the leg pedicled with medial cutaneous branch of the saphenous nerve
帶隱神經小腿內側筋膜皮支皮瓣修復重度虎口攣縮應用體會分享友人