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   函数(rbf) 的翻译结果: 查询用时:0.496秒
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函数rbf
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  “函数(rbf)”译为未确定词的双语例句
     Study on Route Travel Time Prediction Based on Radial Basis Function (RBF) Neural Network
     基于径向基函数(RBF)神经网络的路段行程时间预测研究
短句来源
     The Research of Automatic Modulation Recognition Based on RBF Neural Network in Software Radio
     基于径向基函数(RBF)神经网络的软件无线电信号自动调制识别研究
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     A cascade neural network composed of double-layer radial basis function (RBF) and linear basis function (LBF) is proposed for pattern classification .
     提出了由两层径基函数(RBF)和两层线性基本函数(LBF)网络组成的串联神经网络模式分类方法。
短句来源
     For cases that the fault patterns are nonlinear separable, a radial basis function (RBF) network is adopted as by using a φ function a nonlinear separable pattern can be transformed into a linear one, and achieve classification.
     针对电机故障特征在实际中可能是非线性可分的情况,利用φ函数可以将非线性可分的模式转化到线性空间并实现分类,基于这种思想提出了利用径向基函数(RBF)网络实现对这种复杂故障模式的分类。
短句来源
     A new type of non linear self repairing control strategy based on model following method using radial basis function (RBF) neural networks is presented.
     提出一种基于径向基函数(RBF)神经网络的模型跟随非线性自修复控制方法。
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  相似匹配句对
     Near Pseudo Smarandache Function are defined by A.
     函数K(n)是在A.
短句来源
     Choice Function
     选择函数
短句来源
     Gray compensating RBF neural network
     灰色补偿RBF神经网络
短句来源
     We built the model of RBF neural network and observed detection effects through the simulation.
     构建了RBF神经网络模型.
短句来源
     FKCN Optimization of Radial Basis Function Neural Network
     FKCN优化的RBF神经网络
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  function (rbf)
At the same time, linear regression, nonlinear regression and radial basis function (RBF) neural network models are set up to evaluate weld quality between the selected parameters and tensile-shear strength.
      
Based on Immune Programming(IP), a novel Radial Basis Function (RBF) network designing method is proposed.
      
The data for training and testing the radial basic function (RBF) neural-networks model of greenhouse were collected in a 1028 m2 multi-span glasshouse.
      
Radial basis function (RBF) is adopted to map facial texture from the frontal image to the reconstructed face geometry.
      
First, the output voltage of an MCFC stack is identified by a least squares support vector machine (LS-SVM) method with radial basis function (RBF) kernel so as to implement nonlinear predictive control.
      
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In this paper, a one-step ahead predictive control algorithm based on Radial Base Function (RBF)neural networks is proposed, which needs only one neural network. The algorithm is simple, and the control value can be acquired by only a few iterations. Thus it has good real-time property. Through the simulation for a discrete nonlinear system, it is obvious that the algorithm posseses good control performance such as robustness.

提出一种基于径向基函数(RBF)神经网络的一步超前预测控制算法。该方法只用一个网络,控制量的获取只求几步迭代,算法简单并有较好的实时性。通过对离散非线性系统的仿真证明了算法的有效性.

This paper proposes a new method for the training of Radial Basis Function (RBF) neural networks, which is a compound algorithm of Gauss-Jordan algorithm and General Inverse algorithm. The simulating results show that the training of the method is very quickly convergent, a good real-time way and has better quality than Orthogonal Least Squares Algothrism in Least Mean Square error and convergence.

提出了一种用于径向基函数(RBF)神经网络训练的新方法,即Gauss-Jordan与求广义逆(genemalinverse)的复合法。仿真结果表明,此方法训练速度快,实时性强,其收敛性和收敛精度均比正交最小二乘算法(OLS)效果好。

A novel neural networks model—Dynamic Decay Adjustment Radial Basis Function Networks (RBF DDA) together with a new feature extraction method is introduced to Handwritten Chinese Character Recognition (HCCR).Experiments on 100 categories of handwritten Chinese characters produced the recognition rate of 99%,showing that the proposed approach for HCCR is promising.

使用了一种新的神经网络模型———动态衰减调节径向基函数(RBFDDA),并结合一种新的特征提取方法来进行手写体汉字识别的研究,通过对100种汉字、15000个样本的初步实验,取得了识别率为99%的良好结果,表明将RBFDDA引入到手写体汉字识别的研究是比较成功和可行的。

 
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