搜索资源列表
use GA to deal with NN
- 遗传算法解决NN逼近任意函数-genetic algorithm to solve arbitrary function approximation NN
一个bp实现回归的nn程序
- 一个bp实现回归的nn程序，可以从中学习神经网络在回归中的应用
nn.rar
- 内含用MATLAB编写的三个神经网络应用实例，包括BP网络和RBF网络,Using MATLAB includes the preparation of the three neural network application, including the BP network and RBF network
RBF-NN
- RBF网络的回归,非线性函数回归的实现.很有用的。-RBF NN
prtools3.1.7.rar
- 模式识别 MATLAB 的工具箱,比较实用,包括SVM,ICA,PCA,NN等等模式识别算法.,Pattern Recognition Toolbox for MATLAB, more practical, including the SVM, ICA, PCA, NN pattern recognition algorithm and so on.
RBF_example_IRIS
- RBF神经网络应用于IRIS数据集的例子-Am example of RBF-NN applied on IRIS Data Set
c++实现的KNN库:建立高维度的K-d tree
- c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索，最小半径搜索-K-NN algorithm implementation. It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
knn.kmeans.fisher
- 常用的分类方法，包括最近邻（NN），k均值（kmeans），k近邻，Fisher线性判别。-Commonly used classification methods, including nearest-neighbor (NN), k the mean (kmeans), k neighbors, Fisher linear discriminant.
nn
- 基于MATLAB完成的神经网络源程序 大家-Based on the MATLAB neural network to complete the U.S. source
nn
- 线性神经网络，BP神经网络，Hopfield神经网格，Elman神经网络，RBF神经网络；在模型应用模块中实现了六种实际应用：RBF网络的船用柴油机故障诊断，BP网络的齿轮箱故障诊断，SOM网络的回热系统故障诊断，BP网络的设备状态分类器，SOM网络的人口比例样本分类，SOM网络的土壤性状样本分类。-Linear neural network, BP neural network, Hopfield neural network, Elman neural network, RBF neural
GA_NN
- 使用遗传算法（GA）优化神经网络（NN）结构的C语言源程序-The use of genetic algorithms (GA) optimization of neural networks (NN) structure of C language source code
nn
- hopfield neural network
BP-NN-programe
- 一个神经网络程序,神经网络仿真数据和测试结果.-a NN programe writed in C, with test data and test result.
NNPID
- 采用S函数写的多变量单神经元PID控制的SIMULINK仿真-NN PID CONTROLLER WRITED BY S FUNCTION
mitmatlab
- 数据挖掘matlab源码，包含机器学习领域中经典算法如ID3,C4.5,NN,CARD,EM等.-Data Mining matlab source, including the field of classical machine learning algorithms such as ID3, C4.5, NN, CARD, EM, etc..
NN
- 最详尽的神经网络源码，包括最主要的三个神经网络算法：GRLVQ ， SRNG和H2MGLVQ算法，提供详细的源码和例程，三个监督基于LVQ classifieur-Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifieur Please run mexme_NN to recompile mex files on your own plateform
competitive_modifikasi_d
- NN training for DVR control
NeurAL
- the book is very important for applying nn in image processing and fuzzy implementation using c
NN2
- Global optimization of neural network weights NN权值的全局优化-Global optimization of neural network weights NN weights of the global optimization
nn
- NN neural network for face recognition supervised feed forward back propagation neural network