inverse network 中文意思是什麼
inverse network
解釋
倒置電網路-
The microgels of close monodispersity with different volume and cross - linking density can be prepared by using an inverse emulsion polymerization method. both artificial and natural materials, including zeolites, membranes, vesicles, liquid crystal, microemulsion, micelles, biopolymers, etc., have been used as template. the three - dimentional network structure and spherical morphology of polymeric microgels may guarantee the homogeneous of the structure of the composite, the size and the morphology of the various organic - inorganic composites with unusual structures
在反相乳液聚合條件下，通過控制反應條件可以得到體積不同、交聯度不同的近乎單分散的微凝膠，如同分子篩、單（多）分子膜、囊泡、液晶、微乳液、膠束、生物大分子等可作為微納米無機材料合成模板一樣，高分子微凝膠所特有的三維網路結構和球形形貌有可能對在其中進行的無機結晶或沉積反應施加限域和導向作用，從而控制所生成無機材料的形貌和大小，得到各種具有特異結構的無機-有機復合材料。 -
The algorithm can not only eliminate the influence of the cumulative errors of the photoelectric code recorder, but also it can satisfy the requirement of the real - time control. a direct inverse model controller of fuzzy neural network with changeable structure based on takagi - sugeno inference is presented and it is used to the motion control of mobile robot. in order to avoid the obstacles successfully, detection results from ccd and ultrasonic sensors are fused by a fuzzy neural network, which acts as an avoidance controller
包括移動機器人的融合自定位問題：移動機器人利用光電編碼器進行自定位，同時用擴展卡爾曼濾波器融合多個超聲波傳感器的測量值，採用回朔演算法將融合值用於復位光電編碼器，消除了光電編碼器累積誤差的影響，並能滿足實時控制的要求：並提出一種基於takagi - sugeno模型的變結構模糊神經網路直接逆模型控制器，並應用於移動機器人的運動控制；利用模糊神經網路避障控制器融合ccd攝象機與超聲波傳感器探測到的環境信息，以實現機器人的安全避障。 -
The fuzzy neural network is used to identify the dynamics of the system to be controlled, the trained fuzzy neural network is used in the inverse system method for chaos control and chaotifying control
採用模糊神經網路洲觸被控系統的動態特性，將訓練好的神經網路應用於逆系統方法中，實現了混沌系統的控制和混沌化控制。 -
Feedforward neural network based on bp algorithm constructs identification of plant and inverse controller
我們採用基於bp演算法的前饋神經網路構造對象辨識器和逆控制器。 -
The time - domain measure technique of vector network analyzers base on inverse chirp - z transform
逆變換矢量網路分析儀時域測量技術 -
Images of huanghua pears were acquired by means of machine vision system the method to describe the shape of irregular fruit was studied, in which the fourier transform and fourier inverse transform were applied a sort of software for fruit shape identification based on artificial neural network was developed
利用機器視覺採集黃花梨圖像，研究了不規則果品的形狀描述方法，提出在黃花梨的分級過程中採用傅立葉變換與傅立葉反變換對來描述果形，開發了基於人工神經網路的果形識別軟體。 -
The attitude control algorithm is based on dynamic inverse control method. the algorithm is adaptable, with the use of neural network compensating the error between the model and the real helicopter
姿態控制演算法採用動態逆控制方法，並利用神經網路在線補償模型誤差，使其具有自適應能力。 -
Neural network based inverse control method used in thermodynamic process
基於神經網路的逆控製法在熱工過程中的應用模擬 -
( 5 ) a series of design methods of classifiers are proposed, including the classifier based on the generalized inverse and the probabilistic reasoning method ( prm ), a new self - adaptive kohonen clustering network which overcomes the shortcomings of the conventional clustering algorithms, and the fuzzy neural classifier. the experimental study efface recognition is presented based on the combination of multi - feature multi - classifier. ( 6 ) this paper proposes a hybrid feature extraction method for face recognition, which is a combination of the eigen matrix, fisher discriminant analysis, and the generalized optimal set of discriminant vectors
（ 5 ）對圖象分類器設計方法進行研究，主要包括：提出了一種基於廣義逆和概率推理的分類器設計方法；提出了一種新的自適應模糊聚類演算法；提出了基於模糊神經網路的分類器設計方法；並對多特徵多分類器組合方法在人臉識別中進行實驗研究； （ 6 ）提出了一種只要一個訓練樣本就能解決人臉識別問題的新方法，該方法結合了特徵矩陣、 fisher最優鑒別分析和廣義最優鑒別分析方法的優點。 -
The following conclusions have been drawn from this research program, : ( 1 ) the model following architecture allows for straightforward implementation of requirements of handling quality standard, and it can be utilized for helicopter handling quality design. ( 2 ) the adaptive model - inverse control theory can provide the referenced helicopter with consistent handling quality throughout its operating envelope, with requiring only an approximate linear model at a single operating point. ( 3 ) the technology of adaptive neural network model - inverse control can reduce costs and period associated with pcs development
通過該課題的研究，得到以下結論： （ 1 ）參考模型跟蹤結構能夠直接實現飛行品質規范要求，可以用於直升機飛行品質設計； （ 2 ）自適應模型逆控制方法只需一個基準狀態下的近似線性模型，卻可在整個使用包線內提供協調一致的飛行品質； （ 3 ）自適應神經網路模型逆控制技術可節約成本，縮短飛控系統研製周期； （ 4 ）在某些部件部分意外失效或戰損情況下，自適應神經網路具有實現控制的在線快速重新配置、保持飛行品質的潛力； （ 5 ）軌跡跟蹤控制器可以用於任務科目基元模擬及飛行品質評估。 -
Based on the theory of inverse analysis in mechanics and engineering and combined with the concrete gravity dam of manwan hydro power plant, a back - analysis model including the prior information was built and artificial neural network ( ann ), according to which powerful nonlinear mapping ability, was used to predict the future physical parameters of the concrete
在此基礎上，以大規模有限元分析軟體ansys為平臺，二次開發了漫灣水電站砼重力壩運行狀態分析系統，根據大壩運行監測資料，對該電站大壩進行了砼力學參數反分析、砼力學參數預測分析以及大壩運行狀態分析。 -
The simulation results show that : neural ath - order inverse system control method have good adaptability to the running point and network structure ' s transformation, improve the stability of power system greatly and have good control performance when it was applied to the stability control of power system
單機和多機系統的模擬結果表明，神經網路階逆系統控制方法應用於電力系統控制，對系統運行點和網路結構的變化有良好的適應性，可顯著改善系統暫態過程的動態響應，具有較好的控制效果。 -
The examples show that the inverse analysis can get satisfactory result by using neural network
應用實例表明，預測結果比較令人滿意。 -
As a result, a inverse neural network model is established for mr dampers, which can be connected with lqr controlling method or fuzzy controlling method to form the intelligent control for mr dampers
文中將該模型分別與兩種控制方法（ lqr控制方法和模糊控制方法）連接，形成了mr阻尼器的智能控制。 -
A kind of multilayer forward neural network based on improved genetic algorithm is applied to build the inverse kinematics model of manipulator, aim at the model, each operator and coding plan of the improved algorithm are discussed in detail, because the first joint of the robot is not rotational, for to unify to the fitness function, the relation model between every joint of the robot and corresponding electromotor rotational angle which is regarded as output sample neural network is build
為此，我們提出應用基於改進的遺傳演算法的神經網路來建立機器人運動學逆問題模型，針對該模型，詳細討論了改進后的遺傳演算法的各個運算元以及編碼方案，並針對該機器人第一關節是平動關節，建立了該機器人各關節與相應驅動電機轉角之間的關系模型，將各關節驅動電機的轉角做為神經網路訓練樣本對的輸出樣本，為統一到適應度函數的公式中做了必要的準備。 -
In order to provide a basic and effective practical engineering tool for handling quality planning, analysing and evaluating, which is needed hi helicopter prototype development, this research work is launched on the fundation of comprehending the new aeronautical standard of united states army - ads - 33, and has obtained the achievements as following : ( 1 ) performance definition of pcs according to the criteria requirements for an explicit helicopter, beginning at analysis of its missions. ( 2 ) establishment of a helicopter attitude controller, which can meet the criteria requirements, by using the technology of adaptive neural network model - inverse control ; implementation of two response types ( rts ) and two control modes ; evaluation of quantitative parameters according to the ads - 33. ( 3 ) establishment of a helicopter trajectory contoller based on the attitude controller ; simulations of mission task elements ( mtes ) and evaluation of handling quality
為了給型號研製中飛行品質的規劃、分析和評價提供基本的、有效的工程實用工具，本課題在充分消化理解美軍新航標ads - 33的基礎上，作了以下工作： （ 1 ）針對具體直升機，從任務分析入手，根據規范要求確定對飛控系統的要求； （ 2 ）應用自適應神經網路模型逆控制技術，構造了能夠滿足飛行品質要求的直升機姿態控制器，實現了兩種響應型式、兩種控制模式，並根據ads - 33進行了定量指標評估； （ 3 ）在姿態控制器的基礎上，構造了軌跡跟蹤器，進行了任務科目基元模擬和飛行品質評估。 -
According to the study above, we bring forward combined rbf - rbf neural network to target assignment and attack sequence decision, which is proved to be feasible by matlab simulation. thirdly, we build mathematics model of super - maneuver fighter and part the aircraft states to two loops based on principle of time delay. then nonlinear dynamic inverse theory is applied to design the flight control law
接下來本文建立了超機動飛機的數學模型，並根據時標分離的原則，將飛機狀態劃分為快迴路和慢迴路，然後應用非線性動態逆理論分別構造兩個迴路的控制律，同時利用設計的飛控系統對赫布斯特機動進行了模擬。 -
As a relatively new branch in the inverse optimization area, inverse network optimization problems under hamming distance have been shown to be theoretically interesting and practically useful
作為逆優化問題中相對較新的一個分支，哈明距離下的網路逆問題具有較大的理論研究及實際應用價值。 -
Because the process of inverse analysis is very complex, it is difficult to get good training result by using traditional 3 - layer bp network
由於反分析問題的復雜性，使用傳統的3層bp網路很難得到很好的訓練效果。 -
The calibration and temperature compensation function are implemented through two neural networks modeling. the direct modeling technology enables an estimate of the nonlinear sensor characteristics, whereas the inverse modeling technology estimates the applied pressure. fourth, after comparing the pressure fusion performance with the original adapted neural network and slfm neural network, the simulated results show the idarbf neural
然後將idarbf神經網路應用於壓阻式壓力傳感器，通過正向建模估計傳感器的非線性特性，反向建模估計融合壓力，並且與原自適應rbf神經網路和slfm神經網路的實現方法作了壓力融合性能比較，模擬結果表明本文提出的idarbf神經網路具有更好的非線性校正能力。
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