实现了径向基神经网络参数优化。
文章用径向基神经网络设计内模控制系统。
This paper designs a internal model control system with radial basis function neural networks.
详细地介绍了径向基神经网络的结构和基本原理。
The structure and rational of RBF neural network are presented in detail.
提出了一种基于蚁群聚类算法的径向基神经网络。
A novel radial basis function neural network based on ant colony clustering (RBF-ACC) was proposed.
提出了基于径向基神经网络的人脸动画生成的算法。
We present a new algorithm of facial expression animation based on radial basis function networks.
采用径向基神经网络对钢丝绳断丝损伤进行定量识别。
RBF neural network is adopted to test the LF damage quantity of steel wire-rope.
结果表明，用径向基神经网络预测股价是可行的和有效的。
Results of prediction experiments with real data prove the efficiency of our prediction method based on Radial Basis Function neural network.
提出了利用三层单输出径向基神经网络预测烟叶品质的方法。
A method to predict the quality of tobacco by three-layer single output Neural Network based on radial basis function is proposed.
最后，用径向基神经网络原理对载机导引器的优化作了研究。
Lastly, the optimized proportional navigation of modern fighter is researched with radial basis function (RBF).
后级使用径向基神经网络作信号拟合，提取SEP信号的特征。
Afterward, its output is estimated by radial basis function neural network (RBFNN) for extracting SEP features.
本文使用径向基神经网络确定各个因素之间的非线性复杂关系。
In this paper, radial basis function neural network was employed to approximate the nonlinear complex relationship of all factors.
实验表明，径向基神经网络可以很好的逼近各个因素之间的权重关系。
The experimental results show that RBF neural network can successfully approximate the weights of all factors.
建立了基于相空间重构和径向基神经网络的压气机机匣静压的预测模型。
A novel forecasting model for compressor casing wall pressure based on phase space reconstruction and radial basis function network was established.
最后对回归神经网络和径向基神经网络在故障诊断中的应用进行了初步的研究。
And, the application of Recurrent Network and Radius Basis Network to fault diagnosis is also primarily studied.
通过对径向基神经网络的研究，提出了径向基神经网络的构造性理论及其构造算法。
A constructive theory and its constructive algorithm of radial basis function network are presented.
结果表明，径向基神经网络模型能有效提高预测精确度，也证明了实验方法的有效性和可行性。
The results not only show radial basis network models can increase the prediction accuracy efficiently, but also prove the validity and feasibility of these motheds.
采用径向基神经网络（RBFNN）在MATLAB环境下建立了混煤软化温度的智能预测模型。
Through the use of a radial-based function neural network(RBFNN) an intelligent forecasting model for the blended-coal softening temperature was set up under MATLAB environment.
研究基于聚类分析的径向基神经网络用于中医舌诊诊断，构建一个中医舌诊智能诊断的神经网络模型。
Presents the RBF neural networks based on clustering analysis is applied in TCM inspection of tongue diagnosis, to construct a neural networks model of TCM inspection of tongue intelligent diagnosis.
研究了车辆自动变速器的换挡建模问题，介绍了利用径向基神经网络（RBFN）的换挡建模方法和算法；
The gear shifting modeling problem for automated transmission is studied. The gear shift modeling method using radial basis function networks(RBFN) and arithmetic is introduced.
用实际观测数据对该模型进行了试验，结果表明，用径向基神经网络转换GPS高程精度高于二次拟合法和BP神经网络法。
The model was tested with observed data. The results showed that RBF Neural Network conversion accuracy than Quadratic fitting and BP Neural Network.
试验结果表明，加入聚类分析的径向基神经网络模型提高了连续预测的趋势准确率，降低了时间代价，并减小了模型的复杂度。
The result of this experiment shows that the modified RBF neuro-network increases trend accuracy in sequential predicting, while debasing the cost of time and reducing the complexity of the model.
其次，根据损伤后的结构频率与模态的变化，应用径向基神经网络，进行结构节点固结系数的识别，从而实现对网架结构有限元模型的修正。
Secondly, according to the change of damage structural frequency and modal, the fixity factor is identified by RBF neural network, then FEM correction of truss is finished.
对径向基函数神经网络在数据分类中的应用进行了研究。
The application of radial basic function neural network in the data classification is studied.
该文提出一个有效的基于径向基函数神经网络的模型和状态数据融合的汽轮发电机智能估计方法。
An efficient model based on radial basis function neural network and intelligent estimating method for data fusion of the turbine-generator is presented.
提出了一种减聚类径向基函数神经网络的纺织空调送风风机故障诊断方法。
A new method of subtractive clustering RBF network for air condition breeze fan fault diagnosis is presented.
提出了一种隐马尔可夫模型（HMM）和径向基函数神经网络（RBF）相结合的语音识别新方法。
Presents a new hybrid framework of hidden Markov models (HMM) and radial basis function (RBF) neural networks for speech recognition.
提出一种交替梯度算法，对径向基函数(RBF)神经网络的训练进行改进。
One kind of alternant gradient algorithm for improving the training of Radial Basis Function (RBF) neural network is proposed.
针对遥感图象分类的特点，提出了一种径向基函数神经网络的遥感图象分类器。
In this paper, considering the features of remote sensing images, we proposed a remote sensing image classifier using radial basis function neural network.
针对遥感图象分类的特点，提出了一种径向基函数神经网络的遥感图象分类器。
In this paper, considering the features of remote sensing images, we proposed a remote sensing image classifier using radial basis function neural network.
应用推荐