搜索资源列表
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- 关于rbf神经网络实现图像分类的IEEE英文文献 和大家一起分享-Image Classification using a Module RBF Neural Network
RBFMatlab
- RBF神经网络用于函数拟合与模式识别的Matlab示例程序-RBF neural network for function approximation and pattern recognition in Matlab Example programs
RBFneuralnetworkprogram
- RBF神经网络预测程序，建模，仿真，实验等-RBF neural network prediction program, modeling, simulation and experiment
sgarbf
- 基本遗传算法,RBF神经网络算法,BP神经网络算法,一共5个源代码.程序可移植性强.-Basic genetic algorithm, RBF neural network algorithm, BP neural network algorithm, a total of 5 source code. Program portability strong.(
ANN
- 人工神经网络的c++实现方法，包括BP,RBF,SOM,LVQ等网络的源程序-Artificial neural network c++ realization, including BP, RBF, SOM, LVQ and other network source
PSOGARBF
- 基本粒子群优化算法 遗传算法，基于聚类，梯度，最小二乘法的RBF网络程序等5个代码-Elementary particle swarm optimization algorithm genetic algorithm, based on clustering, gradient, least-squares method of RBF network program such as 5 code
LP
- 基于径向基神经网络的算法逼近低通滤波器，用Matlab编程实现-Based on RBF Neural Network Approximation algorithm low-pass filter, using Matlab programming
rbf_Kmeans
- Matlab环境下实现的RBF神经网络K均值聚类算法-Matlab environment to achieve the RBF neural network K-means clustering algorithm
遗传RBF网络--基于MFCC参数
- 345906480cca.rar
RbfCharAndNumberTrain
- 基于径向基神经网络的字符和数字的训练，主要用于车牌识别，效果不错-RBF neural network based on the characters and figures of training, mainly used for license plate recognition, good results
RbfSingleCharRecognition
- 径向基神经网络的字符和数字识别程序，在训练的基础上进行识别-RBF neural network and digital character recognition program, the training conducted on the basis of identification
immunity
- 针对实际对象数学模型不明确而难以控制的问题,采用人工免疫网络的离散模 型与学习算法,将人工免疫系统与神经网络结构的优势相结合,提出了一种基于人工免疫 网络的模式识别算法,构造了对象识别的人工免疫网络模型.该算法综合了网络节点的定 位与参数调整以及对基函数的平滑因子实施调谐等功能,有效地解决了径向基函数 (RBF)神经网络模式识别的两个阶段任务,使模式识别的精度有较大的改进.采用两个不 同对象函数进行的仿真试验表明,该算法具有快速收敛性与较高的准确性. -Mathemati
rbf_pca
- 先运用pca找到主要的影响变量，然后用rbf神经网络建模-First use PCA to find the impact of major variables, and then use the rbf neural network modeling
DT1RBFGJDTDSYJYnet
- 对动态一阶对象采用RBF神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Dynamic first-order object to the use of RBF neural network to model the source, after debugging, directly from MATLAB can be run!
DT1RBFnet
- 对动态一阶对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Dynamic first-order object using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
DT2RBFDTnet
- 对动态二阶对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Dynamic second-order objects using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
JTRBFGJnet
- 对静态对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-On the static object using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
JTRBFnet
- 对静态对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-On the static object using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
NDT1RBFnet
- 对非线性动态一阶对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Of nonlinear dynamic first-order object using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
ANN-moving-robot
- 运用人工神经网络和遗传算法实现机器人程序能够自动排除地图中的障碍物。-The use of artificial neural networks and genetic algorithm procedures robot can automatically rule out the possibility of obstructions map.