1) raised-cosine RBF neural network
增量余弦RBF网络
2) RBF network
RBF网络
1.
Research on RBF network based prediction model for alloy burdening;
基于RBF网络的合金配料预测模型的研究
2.
Vitality analysis of impacted naval vessels based on RBF network;
基于RBF网络的受冲击舰艇生命力分析
3.
Temperature drift compensation for pressure sensor based on RBF network;
压力传感器温度漂移补偿的RBF网络模型
3) RBF neural Network
RBF网络
1.
The application of RBF neural network in forecast of out flow sediment concentration of Fengjiashan Reservoir;
基于RBF网络的冯家山水库出库含沙量预测研究
2.
Identification Approach for Liquid Missile Engine Based on Markov Chain and RBF Neural Networks;
液体导弹发动机马尔可夫链和RBF网络辨识方法研究
3.
Development of free flow speed model of cars based on RBF neural network;
基于RBF网络的小型车自由流车速模型的建立
4) radial basis function network
RBF网络
1.
A radial basis function network method for comprehensive assessment of environmental quality;
环境质量综合评价的RBF网络方法
2.
The controller algorithm employs a radial basis function network to compensate the nonlinearities adaptively.
针对一类非线性动态系统给出了一种基于RBF(径向基函数)神经网络的模型参考自适应控制算法,控制器的结构中使用RBF网络来动态的补偿系统的非线性性。
3.
A radial basis function network(RBFN) was applied to simulate the complex springback process.
结果表明,提出的RBF网络与ES相结合的方法具有全局搜索特性,对于存在不可微的目标函数的非线性优化问题,能以较快的速度和较大概率收敛于全局最优解。
5) RBF neural networks
RBF网络
1.
A hierarchical genetic algorithm fo r RBF neural networks is used to determine network parameters such as centers, w idths and connection weights.
利用RBF网络的有源噪声控制系统用于三维空间传播的宽频带空调噪声的降噪获得了良好的效
2.
A hierarchical genetic algorithm for RBF neural networks is proposed to train network parameters such as centers, widths and connection weights.
针对 RBF网络的特点 ,提出一种递阶遗传算法 ,不仅可以同时确定网络参数 (连接权、隐节点中心和宽度 ) ,而且解决了网络拓扑结构的优化训练问题。
6) RBF Networks
RBF网络
1.
Beamforming based on RBF Networks of genetic algorithms;
基于遗传算法RBF网络的波束形成
2.
Automatic recognition of communication signal using RBF networks;
RBF网络在通信信号自动识别中的应用
3.
General prediction methods of residual service life of RC structures are analyzed,the method that RBF networks be used to predict the residual service life of existing RC structures is put forward after extracting the merits of the equal dimension and grey dynamic model GM(1,1).
分析了一般混凝土结构剩余使用寿命预测方法,在吸取等维灰色递补GM(1,1)模型的优点之后,提出了利用RBF网络对既有钢筋混凝土结构的剩余使用寿命进行预测的方法,通过理论分析及应用,证明了其可行性。
补充资料：Fourier余弦变换
Fourier余弦变换
Fourier cosine transform
I议耐台余弦变换[I饭川份仪d理加田北而;Koc皿yc一uPe-o6pa”。a.e巾yp‘e] 见I议州匕变换(Fou〔屺rtla瑙form).
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条