资源列表
SVM-feature-optimization_GA
- 使用SVM进行分类过程中的参数优化问题，通过优化可以达到较好的分类效果。-Using SVM classification process parameter optimization problem by optimization can achieve better classification results.
SVM-classification-forecasting
- 使用支持向量机进行数据分类的预测，文件给出了预测程序的源代码。-SVM prediction using data classification, document gives a prediction program source code.
neural-network-classification
- 使用分类算法中的神经网络算法进行数据分类，实验表明算法可以得到较好的分类效果。-Classification algorithm using neural network algorithm for data classification, experiments show that the algorithm can get better classification results.
SVM-feature-optimization_GridSearch
- 在支持向量机做分类的参数优化过程中采用GridSearch方法进行参数优化，优化后可以得到较好的分类效果。-GridSearch method using SVM classification parameters to do the optimization process parameter optimization, you can get a better classification results after optimization.
naivebaysianclassify
- 分类源代码，为研究神经网络的同学提供帮助-classification source for the study of neural networks to help provide students
Mysvm
- 主要是实现支持向量机的算法，用VC++语言实现-is the main support vector machine algorithm, with VC Language
Depth-First-Search
- 个人实现的深度优先搜索代码。水平有限，请大家指正。-Implementation of a depth-first search algorithm.
RobHess的SIFT源码
- RobHess的SIFT源码实现图像匹配的详细过程
PSO
- 自己编写的封装好的粒子群算法，用C#实现。-I have written a good package PSO with C#.
TSP
- 用遗传算法求解旅行商问题，GA ，GA2 为运行文件（GA2 是选择操作改进后的计算） 本算法为中初始值在运行前指定-Traveling salesman problem using genetic algorithm, GA, GA2 (GA2 selecting computing operations improved) The algorithm for the initial value before running the specified file to run
Machine-Learning-in-Action
- machine learning电子版文档全文-machine learning electronic version of the text of the document
1
- BP神经网络，输入5，输出1，实现预测功能，实验数据可以自动生成，有详细说明-BP neural network, input 5, the output 1, to achieve prediction function, can automatically generate test data, a detailed descr iption