搜索资源列表
MATLABSHOUXIESHIBIE
- 这是一个用matlab实现的RBF神经网络手写数字识别算法.此算法加入相应的手写数字图后可以运行.-This is a realization of using Matlab RBF neural network recognition algorithm handwritten figures. This algorithm adherence to the corresponding figures handwritten map after the run.
rbf1
- RBF神经网络用语语音识别, 自己写的程序!-RBF neural network language speech recognition, write their own procedures.
S200502106_SVM_for_classfication
- SVM用于模式识别 整理别人的代码(原来的是英文)所得: kernel.m用于内积矩阵的计算 svcplot.m用于绘图 svm168.m是主程序 testlin.m是采用线形内积函数的支持向量机应用的 文件 testrbf.m是采用RBF内积函数的支持向量机应用 的 文件 每个文件中都有说明。 仿真平台matlab7.0, 仿真全部通过 将所有文件拷贝到work目录下(注意不要直接将上层文件夹直接拷贝到work目录下,若那样操作,必须在matla
NeuralNetwork_RBF
- RBF 神经网络应用于模式识别 -RBFNN used pattern recognition RBFNN used pattern recognition
NNXOR
- 用RBF网络实现字符识别-Realize character recognition using RBF Net.
RBF-tiaozhishibie
- 有关调制识别的文章,有需要的可以看看,参考一下-Articles related to modulation recognition, there is need to take a look at, refer to
imagerecognition
- it is a image recognition with rbf neural network
RBF_FACE
- RBF的人脸识别研究的文章,希望大家喜欢-Face Recognition RBF article, hope you like
RBF-recong
- 使用人工神经元网络RBF对图片进行识别,识别率较高-RBF artificial neural network using the picture identification, recognition rate
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
RBF
- 人工神经网络 模式识别 对信号进行分类识别 0 1 识别-Artificial neural network pattern recognition to classify the signal recognition 01
RBF
- 径向基神经网络对输入信号进行分类识别,准确度高。-RBF neural network to classify the input signal recognition accuracy.
Wavelet-and-RBF-neural-network
- 利用小波和RBF神经网络进行手写数字识别-Wavelet and RBF neural network handwritten numeral recognition
RBF
- 用于预测、模式识别、函数拟合、综合评价等领域-Used to predict the pattern recognition, function approximation, the comprehensive evaluation
RBF
- RBF神经网络实现字符识别,有详细的注释-RBF neural network to achieve character recognition
Letter-recognition-rbf
- 基于神经网络RBF的字母识别转换成相对应的1到16的数字-Based on RBF neural network identification of letters converted into corresponding 1 to 16 digital
Face-recognition
- 基于rbf的神经网络的人脸识别,人脸检测-Face recognition algorithm based on RBF
matlab-RBF
- RBF网络能够逼近任意的非线性函数,可以处理系统内的难以解析的规律性,具有良好的泛化能力,并有很快的学习收敛速度,已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。-RBF network can approximate any nonlinear function, can handle regular system are difficult to resolve, with good generalization ability,
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)
Untitled2
- k—means函数,RBF网络能够逼近任意的非线性函数,可以处理系统内的难以解析的规律性,具有良好的泛化能力,并有很快的学习收敛速度,已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(k-means function, RBF network can approximate any non-linear function, can deal with difficult-to-resolve regularity in the sys