RBF
美 
英
- 網絡徑向基函數(radial basis function)；腎血流量(renal blood flow)；徑向基神經網絡
例句
The simulation illustrates the effectiveness of the RBF method presented here and its superiority to the MLP method.
仿真結果表明了該方法的有效性和相對于多層感知器建模方法的優越性。
RBF network has such advantages that the output is independent the initial weight value and the structure can be determined by adaptation.
RBF網絡具有結構自適應確定，輸出不依賴初始權值的優良特性；
In this paper the RBF neural network is applied to predict the cost of the solid rocket motor.
嘗試將其應用于固體火箭發動機成本預測中。
then to determine the number of hidden nodes of RBF neural networks by maximal matrix element method.
然后采用最大矩陣元法來確定RBF神經網絡隱層節點數。
Here used the PNN neural network to determine the position and RBF neural network identify the section stiffness of steel supports.
位置的確定采用PNN神經網絡，截面剛度的識別采用RBF神經網絡。
A new method for the structural active control may be offered by predicting the structural response with RBF neural network.
用RBF神經網絡對結構響應進行預測，以期能為結構主動控制提供一種新的思路。
Finally select Extended Rival Penalized Competitive Learning algorithm as the paper's RBF learning algorithm.
最后選擇改進的次勝者受罰競爭學習算法做為本文中RBF的學習算法。
The results of simulation studies finally show the effectiveness of RBF-ARX model for the modeling and identification of nonlinear systems.
模型的預測輸出和仿真結果，證實了RBF-ARX模型在非線性系統建模和辨識中的有效性。
It mainly consists of a thick tin oxide gas sensor array and radial basis function(RBF) neural network.
該電子鼻主要由一組厚膜金屬氧化錫氣體傳感器陣列和RBF神經網絡組成。
The method of fundamental solutions (MFS) with radial basis functions (RBF) approximation was developed for general thermoelastic analysis.
采用基于基本解方法和徑向基函數插值的無網格算法（MFS-RBF）分析了廣義的熱彈性問題。
RBF network with high generalization is a good classifier, especially for larger number of samples.
徑向基網絡作為分類器具有很高的推廣性能，有利于大容量樣本的分類。
This paper presents a method used to the current transformer excitation characteristic modeling based on RBF neural network.
本文提出了應用徑向基函數神經網絡強非線性逼近能力對電流互感器二次繞組的勵磁特性進行建模方法。
Furthermore, the thesis combines ANN with Fuzzy and applies it to sensibility analysis of factors which affect soil pressure.
另外本文將人工神經網絡RBF模型應用于土壓力影響因素敏感性分析之中；
The paper establishes RBF neural network to predict water holdup, and the measurement precision can be improved.
文章通過構建RBF神經網絡，對含水率進行預測，提高了含水率測量精度。
One kind of alternant gradient algorithm for improving the training of Radial Basis Function (RBF) neural network is proposed.
提出一種交替梯度算法，對徑向基函數（RBF）神經網絡的訓練進行改進。
Secondly, the RBF-ARX modeling theory as a global model is adopted for the nonlinearity of quad rotor.
然后，采用RBF-ARX模型理論對四旋翼飛行仿真器系統進行全局的建模。
In this work, MLP is substituted by a radial basis function (RBF) network, which solves these problems successfully.
通過引入徑向基函數（RBF）網絡替代多層感知器網絡，較好地克服了這些缺點。
The discounted least squares (DLS) principle is borrowed to construct the learning algorithm of DLS-RBF based upon squared error criterion.
借用打折最小平方（DLS）原理構建了基于誤差平方準則的DLSRBF網絡的學習算法。
The simulations indicate that generalization ability of the RBF network can be improved a lot.
仿真表明這種算法可以顯著提高傳統RBF網絡的泛化能力。
the noise level slightly affects the ability of the two RBF networks to identify the damage location arid extent.
噪聲水平對2個徑向基函數網絡的損傷位置和損傷程度的識別能力方面的影響較小。
BP algorithm adopts Matlab as operation platform, imitates the data, but RBF adopts VC ++ to debug C ++ procedure for operation platform.
BP算法采用Matlab為運行平臺，對數據進行模擬，而RBF則采用VC++為運行平臺對C++程序進行調試。
The RBF neural network-based software for the prediction of hourly air conditioning load is finally programmed.
在此基礎上，構建了基于RBF神經網絡的建筑逐時空調負荷智能預測軟件系統。
Training results show that the RBF neural network can receive smaller mean square error (MSE) within shorter time.
訓練的結果表明RBF神經網絡可以在更短的訓練時間內，獲得更小的均方誤差。
The theories of BP and RBP network were introduced, meanwhile their applications in sensory evaluation were discussed.
介紹BP網絡與RBF網絡的方法原理以及二者在感官評估中的應用。
An optimization algorithm of RBF Neural Networks based on ant colony clustering and a pruning method is proposed.
提出了一種基于蟻群聚類算法和裁剪方法的RBF神經網絡優化算法。
The result indicated that improved RBF neural network model could predict mechanical indexes of clay material quickly and accurately.
結果表明，改進RBF神經網絡模型可以較為快速、準確地預測粘土料力學指標。
As one of FNN, RBF network is also widely used in many fields.
RBF神經網絡作為多層前向神經網絡的一種，同樣有著廣泛的應用。
The BP network and the RBF network are applied to calculate the underwater acoustic signal of naval vessels.
并分別采用BP神經網絡和RBF神經網絡對仿真信號和實際艦船水聲信號進行預測。
The simulation results show that the RBF network does well in nonlinear function approximation.
計算結果表明，RBF神經網絡控制器具有良好的非線性逼近能力；
RBF networks have the advantage of not suffering from local minima in the same way as Multi-Layer Perceptrons.
RBF網絡具有的優點是不會有如多層感知器般落入局部最小值的問題。
The research of this paper is mainly about reconstruction of Chinese normal speech from whispered speech based on RBF neural network.
本文主要研究了基于RBF神經網絡的耳語音轉換為正常音的算法。
A radial basis function (RBF) neural network approach to blind source separation in linear mixture is presented.
提出一種RBF神經網絡算法應用于線性混疊信號的盲分離。
First, the usual ways that are employed to choose the number of RBFNN's hidden layer nodes are analyzed and compared.
首先對目前常用的RBF網絡的隱層節點數的選擇辦法進行了分析，并指出它們的優點和不足。
RBF neural network based tuning of PID control of radial basis function with the seclusion of the three single-feed-forward network.
基于RBF神經網絡整定的PID控制徑向基函數具有單隱居的三層前饋網絡。
The fuzzy-RBF neural network model was applied for the actual load value of Tianjin Natural Gas Company to predict.
應用模糊-RBF神經網絡模型對天津市的實際情況進行了預測。
The structure and fundamental of RBF neural network are analyzed, a three-layer RBF neural network is designed.
分析了徑向基函數神經網絡的結構和工作原理，設計一個診斷變壓器故障的三層徑向基網絡。
Comment on "An Approach to Robust Fault Detection for Nonlinear System Based on RBF Neural Network Observer"
關于“基于RBF神經網絡觀測器的非線性系統魯棒故障檢測方法”一文的疑問
This shows that it is feasible that RBF ANN is used to establish the forecast model of outflow sediment concentration.
可見，采用RBF網絡建立的出庫含沙員預測模型是可行的。
For the above reasons, the extended Kalman filter is proposed as RBF learning algorithm, and the biradial function is used in hidden layer.
針對上述原因，提出利用擴展卡爾曼濾波器作為RBF的學習算法，并在隱層中使用雙徑向函數。
RBF (Radial Basis Function) NN is more suitable for system identification and control because its outputs are linear to the weights.
RBF神經網絡因其輸出對權值的線性關系，更適于系統辨識和控制。
