神經徑路學 的英文怎麼說

中文拼音 [shénjīngjìnglùxué]
神經徑路學 英文
hodology
  • 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
  • 徑 : Ⅰ名詞1 （狹窄的道路; 小路） footpath; path; track 2 （達到目的的方法） way; means 3 （直徑的簡稱...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 神經 : nerve; nervus
  1. Secondly, the artificial neural networks and mixed evolutionary computation are employed into the mathematical simulation of complex geological structure, and with gis and visualization technique, the method of geological digital 3 - d modeling and visualization is presented. so, not only the functions of making geological section and querying spatial information could be achieved, but also the spatial distribution of geological structures and their complex relationship could be described visually. thereby an interactive and convenient way for engineering geological design could be actualized

    （ 2 ）提出了復雜地質構造數學模擬的神經網路方法與混合進化方法，並利用gis技術和可視化技術，深入研究了數字地質三維建模及其可視化方法，實現了地質三維任意剖切、信息空間查詢與管理等功能，從而為直觀描述地質構造的空間展布及其相互間的復雜空間關系，以及快捷、交互地進行工程地質設計提供了新的途徑與手段。
  2. In this paper, the rotating machinery at high speed is studied. there are discussed about numerical calculating methods for non - linear dynamical system, the rotor system radial impact and rubbing dynamics behavior analysis having the nonlinear rigidity on the unsteady and non - linear oil film, the rotor system dynamics behavior analysis with bending - torsional - pendular coupling vibrations, application of wavelet, fractal and network in fault diagnosis. the main works in this paper are as follows : ( 1 )

    本文以高速旋轉機械為主要研究對象，系統、深入地研究了非線性動力學系統的數值計算方法、具有非線性剛度的轉子系統在非穩態非線性油膜力作用下的徑向碰摩動力學行為、轉子彎扭擺耦合振動的動力學分析、小波和分形理論及人工神經網路在故障診斷中的應用問題。
  3. An applied anatomical study of choosing transfer course of phrenic nerve harvested from thoracic cavity

    選擇進胸取膈神經移位路徑的應用解剖學研究
  4. The model of tribology based on radial basis function artificial neural network

    徑向基神經網路的摩擦學模型
  5. To verify the effectiveness of the proposed hybrid fnn, this thesis addressed the estimation problem for the frozen point of light cyclic oil in a fluidized catalytic cracking unit ( fccu ) in a refinery. based on the sample data collected from the industrial unit, we built a soft sensor model by using an above hybrid fnn

    最後，針對某煉油廠催化裂化裝置主分餾塔輕柴油凝固點的軟測量估計問題，本文基於工業現場所採集的樣本數據，建立了混合結構神經網路模型，並討論該模型的在線自學習問題，同時與多層前向bp網路、徑向基函數rbf網路模型進行了比較。
  6. It has been used in many fields such as machinery industry, electronic industry, power industry, hydraulic engineering, chemical industry, agriculture, environment, economy and so on. this paper focuses on application of anns in the study of the karst basin and its low flow

    人工神經網路是一門正在迅速發展的交叉科學，現已廣泛應用於機械工業、電子工業、能源工業、水利工程、化學工業、農業、環境和經濟學等學科。本文主要討論人工神經網路在喀斯特流域及其枯水徑流研究中的應用。
  7. 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。
  8. Applies the strict mathematical reasoning, translates the problem of relearning algorithm of redial basis function neural network into the problem additional operation of matrix operation

    應用嚴格的數學推理方法，將徑向基函數神經網路的再學習問題轉化為矩陣求逆的附加運算。
  9. Their learning and training rules have been analyzed profoundly and their abilities to approximate arbitrary nonlinear function have been testified and compared by the simulation. a new rbf neural network has been presented which uses a raised - cosine function as activation transfer function. it provides a wider generalization in comparison with gaussian rbf neural networks by simulation as well as strong approximation ability, fast convergence, a rule to select the parameters of the networks

    本文詳細研究了兩種典型的前向神經網路（ bp網路和rbf網路）的學習和訓練演算法，提出了一種新穎的基於緊支集餘弦函數的徑向基神經網路，其克服了常用的高斯型rbf神經網路雖具有緊支集但各基函數非正交的不足，其收斂速度快、網路參數選取有理論依據且相比于高斯型rbf神經網路具有更強的泛化能力，模擬驗證了其有效性。
  10. Radbas function neural network method makes use of self - learning function of neural network and automatic adjusted tentatively value, so self - adapted capacity of the algorithms was strength

    徑向基函數神經網路法利用了神經網路的自學習功能，自動調整網路權值，所以其演算法自適應能力很強。
  11. Because it is a long time before the hybrid method getting the field, one can use the artificial net work ' s character of learning by itself, and get the law of the path loss. consequently, it become easier to study the wireless electrical wave ' s propagation characters

    利用混合法計算場，比較耗時，可以運用人工神經網路的自學習功能，就能很快得出路徑損耗規律，從而更加方便對室內的無線電波傳播特性進行研究。
  12. This thesis concentrates its research mainly on the method of rule learning base on bp neural network which definition of rules are combined the web pages ’ features of path, left / right boundary and semantic

    本文的工作重點是基於bp神經網路的規則學習方法，規則的表示結合網頁的路徑特徵、左右邊界特徵和語義特徵來定義。
  13. The latter primarily improves the transmission distance and reliability by selecting the repeater automatically. the frequency domain auto - adaptatation filter algorithm is deduced and reliabity by selecting the repeater automatically. the frequency domain auto - adaptaion filter algorithm is deduced and a method of frequency domain algorithm to restrain the marrow band interference is given on the foundation of the time domain minimum mean square error auto - adaptation filter. then the meter reading system to can learn the power network structure and automatically create linked path by using neural networks auto - study ability and analyzing the reading data

    後者主要是對中繼節點的自動選擇，以提高信息的傳輸距離與可靠性。針對電力線擴頻通信通道的特點，在時域最小均方誤差自適應濾波演算法的基礎上，推導了頻域自適應濾波演算法，並提出了頻域演算法抑制窄帶干擾的具體方法。運用神經網路的自學習方法，通過對抄讀數據進行分析，使抄表系統感知電網拓撲結構，自動建立中繼路徑。
  14. Firstly, the basic theories of artificial neural network are introduced, including neural cell model, the basic structure of artificial neural network and the study methods. the essential of bp network with function approximation and rbf network and the performance of technology are analyzed. the algorithm of bp and rbf networks are also studied

    論文首先闡述了神經網路的基本理論，包括神經元模型，神經網路的基本結構和神經網路的學習方法;分析了具有函數逼近能力的bp網路和徑向基函數（ rbf ）網路實質、技術實現問題，並研究了bp和rbf網路學習演算法。
  15. One on - line learning algorithm of radial basis function neural network

    徑向基函數神經網路的一種在線學習演算法
  16. Radial basis function neural network ( rbfnn ) is chosen to build predictive model. rbfnn is a special type of neural network linear - in - weight in nature and having nonlinear processing properties. finally, an adaptive filter is applicable to do the followed weak signal extraction work

    接著選用徑向基函數神經網路（ radialbasisneuralnetwork ， rbfnn ）建立混沌時間序列預測模型，徑向基函數神經網路是一種局部逼近的人工神經網路，訓練簡潔而且學習收斂速度快，能夠逼近任意非線性函數，最後將預測誤差送入自適應信號分離器進行處理，檢測出微弱信號。
  17. From this sense, the author uses the method which combine the qualitative analysis an the quantitative analysis, and apply the game theory, information economics, new institutional economics, modern property rights economics to make an inner analysis and research on the knowledge management and its mechanism. firstly, through exploring and the micro - mechanism of the enterprise ' s knowledge activity, the paper uses a quantitative analogue of biologic evolution to demonstrate the necessary of knowledge management in knowledge economy. secondly, the paper uses the modern property rights economics, game theory, information theory to analysis the mechanism of knowledge innovation and knowledge share in quantitatively, indust the mechanism of property rights into knowledge management. at last, the paper apply fuzzy bp neural network method to the evaluation mechanism of the knowledge management, and then suggest a new approach to quantitatively analysis the knowledge management effects in an < wp = 8 > enterprise

    筆者從這個意義出發，採用定性分析和定量分析相結合的方法，在努力對博弈論和信息經濟學、新制度經濟學、現代產權經濟學等現代經濟學理論的充分了解和掌握的基礎上，運用這些理論和方法對知識管理及其機制進行深入的分析和研究。首先，本文通過對企業知識活動的微觀機理的分析研究，並用一個擬生物進化的量化模型論證了知識經濟時代提出知識管理的必要性和必然性；接著，運用現代產權經濟學、博弈論和信息經濟學對知識創新機制和知識共享機制進行定性分析和定量分析；最後，本文把模糊數學中的bp神經網路理論應用於知識管理的評價機制，提供了一條對企業知識管理效果進行定量分析有效的新途徑。
  18. Presents the mathematical expressions of adding new learning sample and adding new redial basis function of relearning algorithm, studies how to get the new learning sample

    詳細給出了徑向基函數神經網路再學習演算法中增加新訓練樣本和增加新基函數的數學公式，同時對如何獲取新的訓練樣本進行了研究。
  19. It is feasible that neural network is applied to the feedback analysis of rcc thermal parameters during construction period. 3. research on the crack control measures of rcc dam in the view of structure

    採用神經網路進行碾壓混凝土壩施工期熱學參數反饋分析是可行的，為碾壓混凝土壩施工期熱學參數的反饋分析找到了一條新途徑。
  20. Simulation has proved the validity of chaos genetic algorithm. in succession, this paper deeply discusses neural network theory and traditional radial basis function algorithm. based on this studying, for resolving rbfnn approximation and generalization, combination of rbfnn and chaos genetic algorithm is put forward, which make the most of rbfnn approximation and chaos genetic algorithm entire optimization

    接著，本文深入探討了神經網路基本理論以及傳統徑向基神經網路的學習演算法，在此基礎上，針對徑向基神經網路逼近能力和泛化能力不理想的問題，將徑向基神經網路和混沌遺傳演算法相結合，充分利用徑向基神經網路的逼近能力和混沌遺傳演算法的全局搜索能力。
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