搜索资源列表
k_algorithm
- K-均值算法的c语言实现，他是一种基于样本间相似性度量的间接聚类方法。-K-means is a VQ method based on the similarity of the samples. This is a C language source code for K-means algorithm.
CHAPT10
- 神经网络模式识别及其实现，第10章 内含：ART 和VQ 算法。 终于上传完，本来想一次性发上来的，但结果失败了，只好一个一个发。-pattern recognition and neural network to achieve, Chapter 10 consisting of : ART algorithm and VQ. Finally upload End, originally wanted onto a one-time, but the result of the fai
selfadaptVQ
- 这是一个自适应矢量化算法（VQ）源程序。用于人工智能算法-This is an adaptive vector algorithm (VQ) source. Used artificial intelligence algorithms
lbg_Matlab
- On the splitting method for VQ codebook generation by using Matlab
vq1
- 基于遗传算法的矢量量化（VQ）码本设计及语音识别
HVite.rar
- 实现HMM算法，VQ算法，以及神经网络算法的语音识别程序,Realize the arigthom of HMM(training),VQ and NN for speech recognition
HMMandBPand
- BP神经网络的C语言实现 BP神经网络解决异或问题 HMM的C语言实现 矢量量化的C语言实现-BP neural network to achieve the C language BP neural network to resolve differences or problems in the C language HMM VQ the C language
tif
- k-means算法代码 matlab的程序，具体使用说明在函数里面 ：） 附UCI的测试集图片，可以用作VQ的实验-k-means algorithm matlab code of procedure, specific for use inside the function:)
cluster
- 矢量量化的C语言实现，希望对大家有所帮助。-C-language implementation of VQ , we hope to be helpful.
VQshow
- 简单的GUI VQ演示！ 平台是MATLAB 非常适合初学者 理解分类器-Simple GUI VQ demo! MATLAB platform is very suitable for beginners to understand the classification
module-1
- ector quantization is a classical quantization technique from signal processing which allows the modeling of probability density functions by the distribution of prototype vectors. It was originally used for data compression. It works by dividing a l
vq
- 基于VQ的说话人识别系统系统模型，采用matlab实现。-System Model of VQ- based Speaker Recognition System
Locality-constrained Linear Coding for Image Classification
- Locality-constrained Linear Coding (LLC) in place of the VQ coding in traditional SPM. LLC utilizes the locality constraints to project each descr iptor into its local-coordinate system, and the projected coordinates are integrated by max pooling to
黄金对冲EA
- 黄金刷单 暴利稳健的运行的效果都很不错，单做亚盘收益也能吊打市面同类型策略几个度。 我们可以做的很暴利，同样也可以做的很稳健，暴力1000美金日盈利翻倍，稳健一周盈利40%+浮亏还可以控制在15%以内,详情VQ：401672629 服务器： ECMarkets-Live02 观摩账号：2091230 观摩密码：qaz331