rbf 中文意思是什麼

rbf 解釋
徑向基函數網路
  1. Finally, the controller working based on the combination of rbf neural networks and traditional pid control was applied to in aclinic kinetic machinery and lifting machinery of tower crane. the simulation of this controller was made using matlab, and the simulation results showed that the control system has some merits, such as quick response, little overshoot, well anti - jamming capacity, and little steady - state error, etc. both the dynamic property and static characteristic of this controller are better than traditional pid controller, and meet the tower crane

    應用matlab對塔機的變幅和起升機構的運動控制進行模擬，模擬結果表明基於rbf神經網路整定pid的控制系統具有響應快、超調小及穩態誤差小等優點，其動、靜態性能優于單一pid控制，從而提高了塔式起重機工作機構的工作性能。
  2. The two - dimensional henon chaotic nonlinear map is effectively controlled by the proposed approach. secondly, because of the distinguished advantages, such as rapid convergency and strong approachability, the rbf networks is trained as chaotic controller by ogy scheme, then successful of controlling the henon chaotic map

    其次，利用一種學習過程收斂速度快、擬合能力強的rbf神經網路，以ogy法為依據，訓練網路成為混沌控制器，仍以henon映射作為混沌控制對象，對其混沌行為實施了成功控制。
  3. Optimizing control of distillation column based on rbf neural network

    基於徑向基函數神經網路的精餾塔優化控制
  4. Rbf neural networks applied in soft - measuring of distillation columns

    徑向基函數神經網路在精餾塔軟測量中的應用
  5. Finally radial basis function ( rbf ) is adopted to identify the moment coefficient

    最後還採用徑向基函數神經網路識別了力矩系數。
  6. Chaotic encryption based on rbf neural networks

    基於徑向基神經網路的混沌加密方案
  7. Bof endpoint prediction based on rbf neural network

    神經網路的轉爐煉鋼終點預報
  8. Predictive control based on rbf neural network

    神經網路的電站鍋爐燃燒系統非線性建模
  9. In this paper, the base principle and structure of kbs. ( knowledge base system ) is explained first, and then discuss bp neuralwork, rbf network on structure and atithmetic. in detail. the mixed diagnostic expert system bases on microsoft windows, microsoft vc + + 6. 0 is choosed as program development tool, microsoft sql server2000 is choosed as database development tool. it is composed of four parts

    本論文對混合型專家的理論和實現方法進行研究，詳細地討論了知識庫規則的構造、管理，對bp演算法、徑向基神經網路rbf演算法作了深入的探討和分析，並以船舶動力裝置故障診斷為對象實現混合型專家系統在其上的應用。
  10. Application of the matlab - based rbf neural network in prediction of the building settlement

    神經網路在建築物沉降預測中的應用
  11. The paper tries bp and rbf two kinds of commonly used neural networks compensation model mainly, has compared with many kinds of networks and learning algorithms through the instance

    本文主要嘗試了bp和rbf兩類常用的神經網路補償模型，通過實例比較了多種網路學習演算法。
  12. In macroscopic aspect, it is taken as an example about how to model the relationship between the mix proportion of raw materials and the compressive strength of concrete using radial basis function ( rbf ) neural networks, which can achieve a global minimum

    宏觀上，以混凝土強度為例，研究如何利用神經網路建立原材料配方與混凝土強度的關系模型。介紹可以全局收斂的徑向基函數（ radialbasisfunction ， rbf ）神經網路。
  13. Rbf neural network based soft measurement model for dryness of wet steam

    神經網路的濕蒸汽干度軟測量模型
  14. Based on power spectrum and rbf neural network to classify surface electromyography

    不同負荷方式引起的腰部肌肉表面肌電信號變化特徵
  15. Based on rbf neural network and perceptron neural network, a four - layer feed - forward neural network named radial basis perceptron ( rbp ) network is presented

    基於rbf網路和感知器（ perceptron ）網路建立一四層前饋神經網路?徑向基感知器（ radialbasisperceptron ， rbp ）網路。
  16. Moreover, this article also made a preliminary discussion on the combination of neural network theory and the differential game guidance law. the bp model and rbf model and their corresponding learning algorithm were employed to design the neural network guiding rule based on the differential game guidance law

    另外，本文還將神經網路理論與微分對策制導律相結合作了初步的探討，並結合具體的bp網路和rbf網路及其相應的學習演算法設計出了基於神經網路技術的微分對策制導律。
  17. Icbp is a generalization to circular back - propagation ( cbp ) network. cbp possesses good generalization ability and adaptability compared with the counterpart bp. and in its frame we can construct vector quantification ( vq ) and radial basis function ( rbf ) networks, showing great flexibility

    Icbp是我們對圓形反向傳播網路（ circularbackpropagation ? cbp ）的推廣， cbp不僅具有良好的推廣和自適應能力，而且在其框架下分別構建出矢量量化（ vq ）和rbf網路，展示出了極大的靈活性。
  18. We use neural network model to implement correction part, train it using the samples of history disaster data, and correct the computing result of the former, then get the ideal result, which improves the prognostication precision. the property loss evaluation method targets insurance item as evaluation object. by using the collected data effectively, it builds a model using the method of rbf neural network, and this model is used to evaluate the property loss

    災情修正部分採用神經網路模型，以歷史災情情況為樣本進行訓練，對前面計算的結果進行修正，從而得到理想的結果，使得預測精度進一步提高；財產損失評估方法以保險標的為評估對象，有效利用收集到的信息，運用rbf神經網路方法建立模型並進行財產損失評估。
  19. An indirect self - adaptive fuzzy - neural network controller ( fnnc ) has been proposed with its parameters and the structure tuned simultaneously by ga in virtue of the powerful optimization property of ga. the structure of the controller is based on the radical basis function ( rbf ) neural network with gaussian membership functions. the performance of the proposed fnnc is compared with a conventional fuzzy - pid controller and the simulation results show that the fnnc presents encouraging advantages

    針對神經網路採用一維反向傳播訓練演算法速度較慢且易於陷入局部極小點的不足，設計了一種間接自校正模糊神經網路控制系統，利用遺傳演算法（ ca ）對隸屬度函數的結構和參數進行優化，模擬比較表明該控制比模糊pid控制具有更優的性能。
  20. In two axis system, a circle interpolator is designed, and a new method based on ga - neural networks is proposed to adjust pid parameters online to reduce the tracking error. then, an integrated controller based on rbf neural network ( rbfnn ) is designed to reduce the contouring error of the two axis. experimental results show that the proposed integrated controller significantly improved accuracy in both tracking and contouring

    對于雙軸系統設計了一個軌跡為圓的插補器，採用基於遺傳演算法?神經網路的在線pid參數調整演算法，減小了系統的跟蹤誤差，並分析雙軸之間的輪廓誤差，設計出基於rbf神經網路的綜合控制器，經過模擬實驗證明，本文採用的綜合控制器能有效地減小系統的跟蹤誤差和輪廓誤差，提高系統的控制精度。
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