资源列表
test1
- SVM-无监督机器学习领域的经典算法，在神经网络未出现前，他是机器学习的顶梁柱，现在依然用处广泛，而且其核函数的使用范围早已超脱其本身，该实例对SVM算法进行了实现，具有相应的数据集。(SVM - Unsupervised machine learning in the field of classical algorithms, before the neural network does not appear, he is the mainstay of machine learning,
基于数据数量对支持向量机和BP神经网络性能分析
- 不同样本数量支持向量机和BP神经网络性能分析对比(Performance analysis of neural network)
libsvm-3.18
- 利用现在流行的模式识别技术，好用的支持向量分类工具包(Using the popular pattern recognition technology, a good support vector classification Kit)
New Folder
- MATLAB CODE FOR THE DIFFERENT MATHEMATUCAL
Survey_publicado
- since it suffers from node mobility. WSI presented an average performance, except in extreme
源程序
- 神经网络案例,包括语音识别，线性预测、粒子群算法、遗传算法的优化等(some cases of neural network)
BAM
- bam algorithm simulatin
机器学习实战
- 机器学习的算法，主要使用python语言，Numpy库，进行算法分析。(Algorithm for machine learning)
GA4r
- genetic algorithm; GA genetic algorithm;
liziqun
- genetic algorithm; 2222222
DeepLearning
- DeepLearning 工具包C, C++, Java, phython, scala代码集合,(DeepLearning Toolkit :C, C ++, Java, phython, scala code collection)
SVR
- 该代码属于支持向量回归技术的新实现，直接调用，简单易操作，训练和测试分开(The code belongs to the new implementation of support vector regression technology, direct call, simple and easy to operate, training and testing separate)