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进化rbf神经网络
相关语句
  evolutionary rbf neural network
     CONTROL OF LORENZ CHAOS USING EVOLUTIONARY RBF NEURAL NETWORK
     用进化RBF神经网络控制Lorenz混沌
短句来源
     CONTROLLING ROSSLER CHAOTIC SYSTEM USING EVOLUTIONARY RBF NEURAL NETWORK
     用进化RBF神经网络控制Rossler混沌系统
短句来源
  evolutionary rbf
     CONTROL OF LORENZ CHAOS USING EVOLUTIONARY RBF NEURAL NETWORK
     用进化RBF神经网络控制Lorenz混沌
短句来源
     CONTROLLING ROSSLER CHAOTIC SYSTEM USING EVOLUTIONARY RBF NEURAL NETWORK
     用进化RBF神经网络控制Rossler混沌系统
短句来源
     In this paper, a novel model called Evolutionary RBF and its training algorithm are presented for the non stationary data in time series, combined with the methods of difference and hierarchical genetic algorithm.
     本文针对时间序列中的非平稳数据 ,结合差分平稳化与分阶遗传的思想 ,提出一个新的进化 RBF神经网络的模型及其训练算法 .
短句来源
     : Combined with the methods of difference and hierarchical genetic algorithm, a novel model called Evolutionary RBF and its learning algorithm are presented to analyze the non-stationary data in the nonlinear time series.
     针对非线性时间序列中的非平稳数据,本文结合差分平稳化和分阶遗传训练的方法,提出一种新的进化RBF神经网络结构及其学习算法。
短句来源
  “进化rbf神经网络”译为未确定词的双语例句
     Controlling a Double Inverted Pendulum Using Evolutionary Radial Basis Function Neural Network
     用进化RBF神经网络控制二级倒立摆
短句来源
     A MODEL OF EVOLUTIONARY-RBF NEURAL NETWORKS AND ITS TRAINING ALGORITHM
     一种进化RBF神经网络的模型及其训练算法
短句来源
     The Time Series Analysis Based on Evolutionary-RBF Neural Networks
     基于进化RBF神经网络的非平稳时间序列分析
短句来源
     The fault diagnosis about diesel engines with instantaneous speed is a convenient and practicable method, which is systematically introduced about its measuring,extracting fault parameters and analysing method. Evolutionary radial basis function neural networks(RBFNN) is used in the analysis. This network trained with genetic algorithm optimizes the RBF neural network's configuration and parameters, making the network more useful.
     瞬时转速波形诊断法是柴油机故障诊断中的一种较为方便实用的诊断方法,本文较为系统地介绍了其测量、故障参数提取及分析方法,并在诊断分析中使用了进化RBF神经网络,此网络的训练采用遗传算法,优化了径向基神经网络的结构和参数,加强了网络的实用性。
短句来源
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Because the radial basis function neural networks (RBFNN) have the performances of best approximation and universal approximation, they are widely applied in those fields of nonlinear time series analysis and so on. In this paper, a novel model called Evolutionary RBF and its training algorithm are presented for the non stationary data in time series, combined with the methods of difference and hierarchical genetic algorithm. The simulation results confirm the superior performance of the evolutionary RBF over...

Because the radial basis function neural networks (RBFNN) have the performances of best approximation and universal approximation, they are widely applied in those fields of nonlinear time series analysis and so on. In this paper, a novel model called Evolutionary RBF and its training algorithm are presented for the non stationary data in time series, combined with the methods of difference and hierarchical genetic algorithm. The simulation results confirm the superior performance of the evolutionary RBF over the classical neural networks, and the former is more fit for the non stationary time series problems.

径向基函数神经网络 (RBFNN)具有最优逼近和全局逼近的特性 ,在函数拟合方面优于传统的 BP网络 ,因此被广泛应用于非线性时间序列分析等领域 .本文针对时间序列中的非平稳数据 ,结合差分平稳化与分阶遗传的思想 ,提出一个新的进化 RBF神经网络的模型及其训练算法 .通过实例分析表明 ,该方法在处理非平稳时间序列方面具有一定的优越性

: Combined with the methods of difference and hierarchical genetic algorithm, a novel model called Evolutionary RBF and its learning algorithm are presented to analyze the non-stationary data in the nonlinear time series. The simulation results confirm the superior performance of the Evolutionary RBF over the classical neural networks, and the former is more suitable to solve non-stationary time series problems.

针对非线性时间序列中的非平稳数据,本文结合差分平稳化和分阶遗传训练的方法,提出一种新的进化RBF神经网络结构及其学习算法。算例仿真结果显示,该算法在处理非平稳时间序列问题时具有一定的优越性。

The fault diagnosis about diesel engines with instantaneous speed is a convenient and practicable method, which is systematically introduced about its measuring,extracting fault parameters and analysing method.Evolutionary radial basis function neural networks(RBFNN) is used in the analysis. This network trained with genetic algorithm optimizes the RBF neural network's configuration and parameters, making the network more useful. After some faults are identified by using RBF, the results show the effectiveness...

The fault diagnosis about diesel engines with instantaneous speed is a convenient and practicable method, which is systematically introduced about its measuring,extracting fault parameters and analysing method.Evolutionary radial basis function neural networks(RBFNN) is used in the analysis. This network trained with genetic algorithm optimizes the RBF neural network's configuration and parameters, making the network more useful. After some faults are identified by using RBF, the results show the effectiveness of the combination between the RBFNN and the fault diagnosis using instantaneous speed.

瞬时转速波形诊断法是柴油机故障诊断中的一种较为方便实用的诊断方法,本文较为系统地介绍了其测量、故障参数提取及分析方法,并在诊断分析中使用了进化RBF神经网络,此网络的训练采用遗传算法,优化了径向基神经网络的结构和参数,加强了网络的实用性。最后用神经网络对所模拟的故障进行辨识,证实了瞬时转速法与进化神经网络的结合在柴油机故障诊断中的可行性。

 
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