资源列表
pca_f
- pca算法的matlab实现，适合初学者，可加深其对该算法的理解(Matlab implementation of PCA algorithm)
deep-learning-opencv
- opencv3.3以上的版本调用caffe模型提前训练好的模型进行图片识别。(The above version of opencv3.3 calls the Caffe model in advance training model for image recognition.)
每日算法
- 描述了几个经典算法，介绍了动态规划和其他代码问题，(Several classical algorithms are described)
F6_NSGA-II-master
- NSGA2 avec recadrage pour les fonctions 3D
情感分析
- 分类，用于对情感词的统计、排序、分类等 包括源程序、数据拆分程序、训练集和测试集(Classification for statistics, sorting and classification of emotional words Includes source programs, data split programs, training sets, and test sets)
BP neural network
- BP 神经网络程序及示例，用python语言写的，简洁明了(BP neural network programs and examples)
高级分类器：支持向量机( SVM)
- 利用R语言实现高级分类器,支持向量机( SVM)(Advanced classifier, support vector machine (SVM))
BP神经网络 文献汇总
- 一些关于神经网络matlab编程的基础文献，有各种类型的，方便大家学习、查阅。(Some of the basic literature about the MATLAB programming of neural network, there are various types, convenient for everyone to learn and consult.)
深度学习-21天实战 caffe
- 介绍深度学习框架caffee，并快速入门学习(introduce caffee to master as soon as possible.)
新建文本文档
- 主要用matlab对故障信号进行分类，使用的是概率神经网络(The main use of matlab to classify fault signals, using a probabilistic neural network)
Untitled13
- 用bp神经网络对几组数据进行训练，然后对剩下的数据进行预测，以达到预测故障的目的(Using bp neural network to train several sets of data, and then predict the remaining data to achieve the purpose of predicting failures.)
windig25
- it is a filter cpw low pass