搜索资源列表
BPNeuralNetwork
- BP神经网络（主要用于函数拟合与模式分类）Matlab的示例程序-BP neural network (the main function for the fitting and pattern classification) Matlab sample program
RBFNeuralNetwork
- RBF模拟神经网络（主要用于函数拟合与模式分类）Matlab的示例程序-RBF simulated neural network (the main function for the fitting and pattern classification) Matlab sample program
wz1
- 考虑幅值谱与相位谱的人造地震动模拟与反应谱拟合 我国对《建筑结构抗震规范》进行了修订，将设计反应谱周期由原来的3秒延长到现在的6秒。反应谱周期的延长。 本程序以新规范反应谱作为目标谱，采用三角级数迭加来模拟地震动加速度。-consider amplitude spectrum and phase spectrum of the artificial seismic simulation and pattern fitting response to China's &quo
luzhenbo.rar
- 四种支持向量机用于函数拟合与模式识别的Matlab示例程序,Four support vector machines for pattern recognition function fitting with Matlab Example procedures
BP-moshi
- BP神经网络用于函数拟合与模式识别的Matlab示例程序,说明很详细,并且代码可以直接拿来用-BP neural network for function fitting and pattern recognition procedures Matlab examples to illustrate in great detail, and the code can be directly used by
BPMatlab
- BP神经网络用于函数拟合与模式识别的Matlab示例程序-BP neural network for function fitting and pattern recognition procedures Matlab Example
NeuralNetwork_BP_Classification
- BP 神经网络用于模式分类 大型网络的首选算法 - 函数拟合,模式识别-BP neural network for pattern classification algorithm of choice for large networks- function fitting, pattern recognition
SVM_luzhenbo
- 四种支持向量机用于函数拟合与模式识别的Matlab示例程序，很全面-Four support vector machines for pattern recognition function fitting with Matlab example program, it is a comprehensive
Image
- a very good dll for image process, provide the method to measure and caculate the image, circle fitting, pattern match, ....and so on
SVM_lzb1p0
- 四种支持向量机用于函数拟合与模式识别的MATLAB示例程序.-Four support vector machines for pattern recognition function fitting with MATLAB examples of procedures.
LIF
- 一个新的主动轮廓模型算法，简化了传统的实现过程，性能也有所提高。相关论文(Active Contours Driven by Local Image Fitting Energy)发表在Pattern Recognition 2009上。-A new active contour model algorithm, simplifying the traditional implementation process, performance also improved. Related Paper
SVM
- 支持向量机是Cortes和Vapnik于1995年首先提出的，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine is Cortes and Vapnik in 1995 first proposed, it solve the small sample, nonlinear and high dimensional pattern recognition performance in many
ffc-1.4.tar
- Key Features * Neural network design, training, and simulation * Pattern recognition, clustering, and data-fitting tools * Supervised networks including feedforward, radial basis, LVQ, time delay, nonlinear autoregressive (NARX), and laye
SVM
- 支撑向量机它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中。-Support vector machine to solve it in a small sample, nonlinear and high dimensional pattern recognition performance of the many unique advantages, and to promote the use of the function fitt
NeuralNetwork_RBF
- RBF 神经网络用于模式分类 RBF 神经网络用于函数拟合 -RBF neural network for pattern classification RBF neural network for function fitting
NeuralNetwork_RBF
- RBF神经网络拟合 模式识别（径向基神经网络用于模式识别和函数拟合，陆振波）-RBF neural network pattern recognition fit (radial basis function neural networks for pattern recognition and function fitting, Lu Zhenbo)
GMM
- 无监督混合高斯模型（GMM）的EM估计，含两篇IEEE论文的源码-This is a set of MATLAB m-files implementing the mixture fitting algorithm described in the paper M. Figueiredo and A.K.Jain, "Unsupervised learning of finite mixture models", IEEE Transaction on Pattern Analys
fit_fun
- 人工神经网络模式识别算法类、曲线拟合算法类等-Artificial neural network pattern recognition algorithm, curve fitting algorithm etc。
NeuralNetwork_BP_Classification.m
- BP神经网络（主要用于模式分类）Matlab的示例程序-BP neural network (mainly used for function fitting and pattern classification) Matlab' s sample program
svm
- 支持向量机模型用于预测分析效果显著，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages, and