搜索资源列表
RBPNN
- 利用RBPNN径向基概率神经网络的一个例子，通过该例子可以对RBFNN有个清晰认识-use probabilistic neural network-based one example, through the examples of RBFNN a clear understanding of
2D_EMD_Codes
- 二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快。
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
Human-face-recognition
- 系统全面的基于人脸的身份识别，包括预处理，特征提取，径向基网络识别等。-Human face recognition for ID verification,including preprocess, feature extraction and RBF network recognition
NavelOrange-Grading-System
- 运用计算机视觉和模式识别技术,研究了基于计算机视觉的脐橙分级系统,首先对获 取的图像分割出背景、脐橙本体和表面缺陷,再根据脐橙的分级标准,提取出果实横径、表面缺陷的特征参数,采用径向基神经网络对脐橙样本进行了等级识别,实现脐橙的自动检测与分级。-According to the characteristics and requests of navel orange, this study uses computer vision and pattern recognition tech
Radial-basis-function-(RBF)-network
- 径向基函数网络，对Gauss白噪声及均匀分布的噪声都具有良好的抑制效果.-Radial basis function (RBF) network, has a good suppression effect to the Gauss white noise and uniform distribution of noise .
NeuralNetwork_RBF_Classification.m
- 基于径向基函数网络即RBF网络的分类识别程序-Based on the radial basis function network RBF network classification and recognition program
RBFregression
- 径向基神经网络来实现非线性的函数回归，详细讲解可看<<MATLAB神经网络30个案例分析>>这本书-RBF neural networks to achieve nonlinear regression function, explain in detail to see MATLAB neural network 30 case studies in this book
(RBF)-neural-network-forecasting
- 使用径向基（RBF）神经网络实现混沌预测的一个例子。-Use of radial basis (RBF) neural network forecasting an example of chaos.
BPRBFshenjingwangluofenlei
- 利用BP神经网络与RBF（径向基函数）网络对行人、自行车、卡车三类目标进行分类，比较两种网络的分类性能，包含三类目标的数据信息，完整的代码-BP neural network and RBF (Radial Basis Function) network for pedestrians, bicycles, trucks three goals categorize performance comparison of the two networks, data information cont
CHENGXU2
- rbf神经网络函数拟合。径向基函数，由样本选出固定中心值和delta-RBF neural network function fitting.Radial basis function (RBF), fixed center value chosen by the sample and the delta
RBF
- 一款基于MFC的模式识别小软件，算法为径向基函数神经网络（RBF）-A small algorithm based on MFC for pattern recognition, the algorithm is a radial basis function neural network (RBF)