您要查找的是不是：
- gradient RBF network 梯度RBF神经网络
- Massive stimulation proves the superiority of the RBF network to the ELM and the standard and the ameliorated BP. 大量仿真结果表明,RBF网络较ELM,标准BP及改进的BP等网络具有明显优点。
- A new method of subtractive clustering RBF network for air condition breeze fan fault diagnosis 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。
- The simulations indicate that generalization ability of the RBF network can be improved a lot. 仿真表明这种算法可以显著提高传统RBF网络的泛化能力。
- Compared with BP network and RBF network, Elman observer has lower error and stronger generalization ability. 与BP网络和RBF网络相比，具有更低的误差和更强的泛化能力；
- It mainly discusses artificial nerve cell and perceptron.BP network and RBF network are described in this chapter. 主要讨论人工神经元与感知器以及人工神经网络模型，包括BP神经网络和RBF神经网络。
- Experimental results show that, compared to RBF network, the EM-based EBF network is more accurate and simpler in structure. 为此提出了基于EBF的遥感分类方法,试验结果表明EBF方法比RBF方法网络连接更简单、分类精度更高。
- The application of dynamic BP network and RBF network to the state estimation of process of erythromycin fermentation was studied. 探索了动态BP网络和RBF网络在红霉素发酵过程状态预估中的应用,比较了它们的收敛速度和学习能力。
- The simulation result shows that the quantum neuron network is superior to classical BP and RBF network for the financial data analysis example. 仿真结果显示，就算例而言，该量子神经计算网络的性能优于传统的神经网络。
- Aimed at the problems of document automatic classification,a classification method is proposed based on fuzzy vector space model and RBF network. 针对文本自动分类问题,提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
- The results show that the conjoint method-PCA and RBF network is more precise and fits better than the single RBF network method. 评价结果表明PCA与RBF网络相结合的方法比单纯的RBF网络方法具有较高的精确度和较好的拟合效果。
- A RBF network forecasting model for wear rate is built with a workbox of artificial neural network.Results are shown as the following: 1. 针对二硅化钼材料的磨损，利用MATLAB神经网络工具箱，以温度、载荷、转速为影响因子，以磨损率为输出，建立了一个径向基神经网络模型。
- Based on the standard Q-learning implemented by RBF network,the weighted Q-learning was used to solve the control problem with continuo... 仿真实例验证了所提算法的有效性。
- To resolve the control for heat tunnel of fire detector, a RBF network parameters tuning algorithm for PID based on immune genetic optimization is presented. 摘要为了解决火灾探测器闭环温箱的控制，提出了一种基于免疫遗传优化的RBF网络参数整定PID算法。
- A learning algorithm of subtractive clustering for RBF network is used to obtain the parameters of radial basis function so as to optimize network structure. 在RBF网络中采用了一种减聚类的学习算法来确定径向基函数的相应参数,使网络结构得到优化。
- In this article, the research and applied of BP network and RBF network as well as wavelet neural network in power load forecasting has been summarized in detail. 详细综述了BP网络、RBF网络以及小波神经网络在电力负荷预测领域的研究和应用现状。
- Simulation results of RBF network method based on fuzzy distance indicate that the method is higher speed convergence and better recognition precision than FBP network. 将模糊距离与RBF网络相结合进行模式识别的仿真实验结果表明,基于模糊距离的RBF网络识别法与FBP网络方法相比,网络收敛速度较快,而且识别精度较高。
- Through principal component analysis, we have synthesized numerous criteria, eliminated information overlapping of the sample, and reduced the input dimension of RBF network. 通过主成分分析将众多指标进行综合，消除样本间的信息重叠，降低RBF网络的输入维数。
- The paper introduces the model of Radial Basis Function Neural Network,analyses the characteristic and discusses the method of fault diagnosis of engine based on RBF network. 介绍了RBF网络模型,分析了其特点,并探讨了基于RBF网络的发动机故障诊断方法。
- Since the result of the estimation was a set of the weights of the RBF network, it could be easily used to predict the interval of the practical system output. 由于集员辨识算法所得到的是网络输出权值的集合估计，在系统运行过程中，可以很方便地利用所建模型预测实际系统的输出范围。
