您要查找的是不是：
- Among them, the Radial Basis Function( RBF) neural network is a better model. 在这些预测模型中性能比较突出的是径向基函数网络(RBF)法。
- 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。
- RBF artificial neual network belongs to the kind of forwardtype and multilayer neural network. 神经网络是一类比较优越的前向式多层神经网络,比传统的BP网络有较快的收敛速度。
- Neural Network Trace Editor Training. 神经网络道编辑训练。
- 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;
- Soft sensor software based on artificial neural network (ANN) using BP or RBF structure is developed to calculate unmeasured variables online. 摘要采用BP和RBF网络，开发了人工神经网络软测量仪表软件，实现了不可测变量的在线观测。
- A new fault diagnosis method for automated electric appliance based on(RBF) artificial neural network theory is proposed in this paper. 为了对自动化电器设备的故障状态进行准确的识别,文章引入了(RBF)神经网络的故障诊断方法。
- 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。
- Neural Networks Horizon Picker Training. 神经网络层位拾取训练。
