资源列表
wCoFKM
- 基于加权的中心化多视角聚类算法，matlab源码，可以找相关文章wCoFKM-Based on the center of the multi-angle weighted clustering algorithm, matlab source code, you can find related articles wCoFKM
NOD File
- Heart Beat Analyzer, Heart Beats counts and displayed in lcd display
Collaborative-FCM
- 协同的模糊聚类算法，CFCM，大家可以搜索相关文章-Collaborative fuzzy clustering algorithm, CFCM, you can search for related articles
yiyuanhanshudeyouhua
- 利用遗传算法，实现简单的一元函数的优化。使用的是Matlab 7.0编写的代码-Using genetic algorithms to optimize simple functions of one variable. Use the code written in Matlab 7.0
81
- 介绍了粒子群在神经网络优化的应用,对研究电子鼻有较大帮助-Describes the particle swarm optimization neural network applications, the study of electronic nose of great help
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
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.
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-regression-forecasting
- 支持向量机除了可以进行分类预测还可以进行回归预测，源代码为使用支持向量进行回归预测。-In addition to SVM classification can also be predicted regression prediction, the source code for the use of support vector regression to predict.
ga_bp
- 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-feature-optimization_GA
- 基于遗传算法寻优初始权值的BP神经网络建模-BP neural network model based on genetic algorithm optimization initial weights
Seaching
- 使用profiler对比递归调用和非递归调用的排序算法-Use profiler recursive calls and sorting algorithms compare non-recursive calls