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- adaptive RBF neural models 自适应RBF网络模型
- 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
- A neural adaptive inverse compensator design method is proposed for a class of nonlinear systems with input ummodeled dynamics based on RBF neural networks. 对于一类存在输人未建模动态的非线性系统,提出了一种基于RBF神经网络的自适应逆补偿器设计方法。
- 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。
- On the basis of lots of study on present graphitizing furnace, RBF neural network is put forward to model graphitizing furnace in order to make accurate control. 摘要基于石墨化炉况的大量研究,提出采用径向基函数网络建立石墨化炉过程模型,以期实现精确控制。
- Based on RBF neural networks and backstepping control techniques, a nonlinear adaptive controller design method is proposed for missile control systems with a general set of uncertainties. 在导弹系统存在广义不确定性情况下,提出了一种基于反演设计技术和RBF神经网络的导弹非线性自适应控制系统设计方法。
- On the basis of lots of study on present graphitizing furnace,RBF neural network is put forward to model graphitizing furnace in order to make accurate control. 基于石墨化炉况的大量研究,提出采用径向基函数网络建立石墨化炉过程模型,以期实现精确控制。
- In order to forecast occurrence of future network anomalous behaviors, a catastrophic model extrapolation approach is put forward using RBF neural network. 为了推断未来网络异常行为出现情况,给出基于RBF网络的模型外推方法。
- Based on the experimental data obtained from 71 steel plates rolled in 4200 rolling mill,this paper established a RBF neural network prediction model of influential coefficient in stressed state by Matlab neural network toolbox. 以4200 mm轧机轧制71块钢板的实测数据为基础;利用Matlab人工神经网络工具箱;建立了轧制变形区的应力状态系数的RBF神经网络预测模型.
- The inverse model of a plant is built by RBF neural network, which is trained by EPSM algorithm. The mult-variable linear and nonlinear couping system is decouped . by the RBFNN inverse controller. 用EPSM算法训练的RBF神经网络构成逆控制器,用于耦合系统的解耦控制,通过对多变量线性耦合系统和非线性耦合系统的仿真,能够有效地实现耦合系统的解耦。
- The network establishes the map relationship between remains and data by means of RBF neural network, and adapts its predicting results to compensate the predicting results of gray model. 该网络利用RBF神经网络建立残差与数据间的映射关系,并采用其预测结果补偿灰色系统模型的预测值。
- In order to mitigate the effect of NLOS propagation, based on the Geometry Based Single- Bounced (GBSB)statistical model, a TOA/AOA location algorithm based on the RBF neural network is proposed. 为了减小NLOS传播的影响,基于几何结构的单次反射统计信道模型,该文提出一种NLOS环境下的TOA/AOA定位算法。
- For the prediction of SO2 density based on the radial base function (RBF) neural network, according to the historical data of SO2 density, RBF neural network model is established to fit training. 基于RBF神经网络的SO2的浓度预测,选取一定的历史数据建立径向基函数神经网络训练模型,进行拟合训练。
- 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。
- Based upon element by element(EBE) iterative strategies,a feedback multi layer neural model is proposed for the heat conduct problem FEM analysis. 基于Element By Element(EBE)策略 ,提出了一种反馈网络和前向网络共同组成的多层神经网络以实现热传导有限元分析。
- 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。