资源列表
ApacheSouceCode
- Apache源码分析很好的分析 资料-Apache source code analysis 】】、、、 Very popular
BP-algorithm-source-code-
- Artificial neural network BP algorithm source code and demo program
BPNet
- 人工神经网络BP算法 1、动态改变学习速率 2、加入动量项 3、运用了Matcom4.5的矩阵运算库(可免费下载,头文件matlib.h), 方便矩阵运算,当然,也可自己写矩阵类 4、可暂停运算 5、可将网络以文件的形式保存、恢复
219239982252007571611349860277
- 人工神经网络BP算法c++源代码,里面有头文件和源文件
差分法
- 实现向后差分法 ,求离散型数据的极值,递增大于零,递减小于零(The realization of the extreme value by the difference method)
yy
- 用于压缩与解压缩,压缩效率不错,对于音视频效果较差-For compression and decompression, a good compression efficiency
lpcc
- 语音信号处理中的LPCC的提取方法,包括PDF的文章介绍,适合初学者-LPCC speech signal processing in the extraction methods, including PDF article introduction, suitable for beginners
VC_code_of_common_alrithym
- 《VC++ 常用数值算法》代码,包含众多常用算法,值得学习参考!-"VC numerical algorithm commonly used" code contains many commonly used algorithms, it is worth studying reference!
RBFlw1
- 这是一部分关于RBF的论文,对股市预测很油帮助-This is part of the paper on the RBF, the stock market is the oil to help predict
callingfortranandcfrommatlab
- 通过matlab来调用fortran和c语言,其中有很多示例,是一本不可多得的外部程序调用的参考书-By matlab to call fortran and c language, there are many examples, is a rare procedure called an external reference
icA-TUTORIAL
- 独立成分分析(ICA)是最近开发的方法,它的目标是找到一种nongaussian等数据的线性表示 该元件是统计独立的或尽可能独立。应用包括信号特征提取与分离数据的基本结构。 在本文中,我们提出的基本理论和ICA的应用,以及我们对这个问题的近期工作。-Independent component analysis (ICA) is a recently developed method in which the goal is to find a linear representatio
IndependentComponentAnalysisAlgorithmsandApplicati
- ICA独立成分分析是近年研究的主流,此资料室介绍ICA的基础资料-ICA Independent component analysis of the mainstream in recent years, the basis of this information Reference Room descr iption ICA