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- multiple RBF neural network 多RBF神经网络
- Nonlinear ANC Based on RBF Neural Networks? 基于径向基神经网络的非线性自适应除噪
- The paper establishes RBF neural network to predict water holdup, and the measurement precision can be improved. 文章通过构建RBF神经网络，对含水率进行预测，提高了含水率测量精度。
- Gray compensating RBF neural network-a new kind of combining method of gray system and neural network was given. 摘要给出了灰色系统与神经网络的一种新的结合方式-灰色补偿RBF神经网络。
- At the same time, some disadvantages of RBF neural network and BP neural network were presented. 同时也总结了BP神经网络和RBF神经网络所存在的不足。
- Result RBF neural network had good identifiable ability and fast impending speed to the s... 结论RBF网络适合本文仿真实验,有利于今后实时的自适应控制。
- Training results show that the RBF neural network can receive smaller mean square error (MSE) within shorter time. 训练的结果表明RBF神经网络可以在更短的训练时间内，获得更小的均方误差。
- The unknown dynamics and external disturbances were estimated by a RBF neural network. 将这种方案用于某型侧滑转弯导弹的飞行控制系统设计。
- The nearest neigbor clustering algorithm is used to train the RBF neural network. 利用具有在线能力的最近邻聚类学习算法，训练RBF神经网络。
- Research on temperature compensation for bias of mechanically dithered RLG based on RBF neural network[J]. 引用该论文 张鹏飞;龙兴武;汤建勋;王宇;李革;许光明.
- The authos set up the model for the prediction of natural risk in the engineering project by RBF Neural Network. 运用RBF神经网络的方法,建立了自然风险预测模型。
- The thought of bacterial colony chemotaxis (BCC) algorithm is applied to determine the control parameters of the hidden neurons in RBF neural network. 借用细菌群体趋药性(bacterial colony chemotaxis,BCC)算法的思想来确定RBF神经网络隐层神经元的控制参数;
- According to the character of RBF neural network that it can approach any nonlinear system, compressor characteristic was simulated. 利用RBF神经网络能逼近任意非线性系统的特点，对压气机特性进行了拟合。
- In this paper, by studying of ship steel structure, the modeling and applications of RBF neural network to ship-welding distortion are proposed. 摘要以船舶钢结构为对象，研究了RBF神经网络在船舶焊接变形中的建模及应用。
- At last, it establishes RBF neural network based on the electro-hydraulic position servo system, and the results prove the description hereinbefore. 最后以仿真电液位置伺服系统为例,建立相关的RBF网络,验证以上的陈述。
- A parallel control method based on RBF neural network and fuzzy control for nonlinear and time-variant performance of motor servo systems is presented. 摘要针对电动伺服系统的非线性和时变性因素，提出了一种RBF神经网络和模糊控制复合控制的控制器。
- In order to mitigate the effect of NLOS propagation，a Taylor -series expansion location algorithm based on the RBF neural network is proposed. 为了减小NLOS传播的影响，提出了基于RBF神经网络的泰勒序列展开定位算法。
- The identifier and controller were based on RBF neural network which applied on-line learning nearest neighbor clustering algorithm. 其中，辨识器和控制器均采用RBF神经网络结构，网络学习采用具有在线学习功能的最近邻聚类学习算法。
- The learning algorithm of membership function based on the RBF Neural Network is discussed and an example is given to demonstrate the validity of this algorithm. 文中探讨了一种用于提取模糊规则的RBF神经网络结构;提出了基于此网路结构的模糊隶属度函数学习算法;最后给出了用于验证该算法有效性的仿真实例.
- During the process of learning the RBF neural network,one can accelerate the converging process of learning by regulating the learning speed according to a performance function. 在RBF神经网络的学习过程中,根据性能函数调节学习率,可以加快学习的收敛过程。
